CN117876885A - Land information classification management system based on soil remote sensing data - Google Patents

Abstract

The invention belongs to the field of land information management, relates to a data analysis technology, and aims to solve the problem that a land information classification management system in the prior art cannot be combined with multiple land characteristic parameters to scientifically and effectively evaluate land planning rationality, and particularly relates to a land information classification management system based on soil remote sensing data, which comprises a region segmentation module, an attribute analysis module, a characteristic management module, an evaluation analysis module and a storage module, wherein the region segmentation module, the attribute analysis module, the characteristic management module, the evaluation analysis module and the storage module are sequentially in communication connection; the region segmentation module is used for carrying out region segmentation processing on the management region: acquiring a soil remote sensing image of a management area; the method can perform region segmentation processing on the management region, performs region segmentation by combining the image characteristics of the soil attributes by adopting an image processing method, marks the obtained soil attributes of all the management regions, and provides data support for attribute analysis.

Description

Land information classification management system based on soil remote sensing data

Technical Field

The invention belongs to the field of land information management, relates to a data analysis technology, and in particular relates to a land information classification management system based on soil remote sensing data.

Background

The feature of land management is the management of the space characteristics of the land, including the geographical position and adjacent relation of the land, the division of the layers and various space and humane attributes related to the land, and the space characteristics of the land provide a wide space for the application of a Geographic Information System (GIS).

The land information classification management system in the prior art can only establish a space database according to remote sensing data, but cannot provide a feature retrieval method for the space database, so that the direct utilization rate of the remote sensing data on an application level is low, and the prior art cannot scientifically and effectively evaluate land planning rationality by combining multiple land feature parameters.

Aiming at the technical problems, the application provides a solution.

Disclosure of Invention

The invention aims to provide a land information classification management system based on soil remote sensing data, which is used for solving the problem that a land information classification management system in the prior art cannot be combined with multiple land characteristic parameters to carry out scientific and effective assessment on land planning rationality;

the technical problems to be solved by the invention are as follows: how to provide a land information classification management system based on soil remote sensing data, which can scientifically and effectively evaluate land planning rationality by combining multiple land characteristic parameters.

The aim of the invention can be achieved by the following technical scheme:

the land information classification management system based on the soil remote sensing data comprises a region segmentation module, an attribute analysis module, a feature management module, an evaluation analysis module and a storage module, wherein the region segmentation module, the attribute analysis module, the feature management module, the evaluation analysis module and the storage module are sequentially in communication connection;

the region segmentation module is used for carrying out region segmentation processing on the management region: acquiring a soil remote sensing image of a management area, carrying out gray level transformation on the remote sensing image, and carrying out area segmentation on the management area by a binary method to obtain a plurality of management areas, wherein the soil properties of the management areas comprise business, water source, factories and planting; the method comprises the steps of sending a management area and a land attribute of the management area to an attribute analysis module;

the attribute analysis module is used for analyzing the suitability degree of the soil attribute of the management area: marking the management areas with the land attribute of business, water source, factory and planting as business areas, water source areas, factory areas and planting areas respectively, obtaining the proper coefficients of the business areas, the water source areas, the factory areas and the planting areas and sending the proper coefficients to a characteristic management module;

the feature management module is used for carrying out feature management analysis on a management area of a management area;

the evaluation analysis module is used for evaluating and analyzing the land planning rationality of the management area.

As a preferred embodiment of the present invention, a business area is analyzed for suitability: drawing a circle by taking the center point of the business area as the circle center and r1 as the radius to obtain a business influence area, and marking the ratio of the area value of the factory area in the business influence area to the area value of the business area as a proper coefficient of the business area; the water source area is subjected to suitability analysis: drawing a circle by taking the central point of the water source area as the circle center and r1 as the radius to obtain a water source influence area, and marking the ratio of the area value of the factory area in the water source influence area to the area value of the water source area as a proper coefficient of the water source area; and carrying out suitability analysis on the planting area.

As a preferred embodiment of the invention, a planting influence area is obtained by drawing a circle with a center point of the planting area as a circle center and r1 as a radius, a sum value of area values of a water source area and a factory area in the planting influence area is marked as an influence value, and a ratio of the influence value to the area value of the planting area is marked as a proper coefficient of the planting area; and (3) analyzing the suitability degree of the factory area, drawing a circle by taking the center point of the factory area as the center, taking r1 as the radius to obtain a factory influence area, marking the sum of the area values of the business area, the water source area and the factory area in the factory influence area as a radiation value, and marking the ratio of the radiation value to the area value of the factory area as a suitability coefficient of the factory area.

As a preferred embodiment of the present invention, the specific process of the feature management module for performing feature management analysis on a management area of a management area includes: summing the area values of all commercial areas to obtain commercial occupation values, summing the area values of all water source areas to obtain water source occupation values, summing the area values of all factory areas to obtain factory occupation values, summing the area values of all planting areas to obtain planting occupation values, marking land attributes corresponding to the largest numerical value among the commercial occupation values, the water source occupation values, the factory occupation values and the planting occupation values as occupation attributes, summing and averaging the proper coefficients of the management areas with the land attributes as occupation attributes to obtain occupation coefficients ZY of the management areas; the occupancy attribute and the occupancy coefficient ZY are sent to a storage module for storage through an evaluation analysis module; and sending the salient attributes and the salient coefficients TC to a storage module for storage through an evaluation analysis module.

As a preferred embodiment of the present invention, the process of acquiring the distribution coefficient FB and the protrusion coefficient TC includes: the method comprises the steps of marking the number of business areas, water source areas, factory areas and planting areas in a management area as business values, water source values, factory values and planting values, marking land attributes corresponding to the maximum values in the business values, the water source values, the factory values and the planting values as distribution attributes, summing and averaging proper coefficients of the management areas with the land attributes as the distribution attributes to obtain distribution coefficients FB of the management area, and sending the distribution attributes and the distribution coefficients FB to a storage module for storage through an evaluation analysis module; the land attribute of the management area with the largest area value is marked as the salient attribute of the management area, the proper coefficient corresponding to the management area is marked as the salient coefficient TC, and the salient attribute and the salient coefficient TC are sent to the storage module for storage through the evaluation analysis module.

As a preferred embodiment of the invention, the specific process of the evaluation analysis module for evaluating and analyzing the land planning rationality of the management area comprises the following steps: obtaining an evaluation coefficient PG of the management area by carrying out numerical calculation on the occupancy coefficient ZY, the distribution coefficient FB and the salient coefficient TC; acquiring an evaluation threshold value PGmax through a storage module, and comparing an evaluation coefficient PG with the evaluation threshold value PGmax: if the evaluation coefficient PG is smaller than the evaluation threshold PGmax, judging that the land planning rationality of the management area meets the requirement; if the evaluation coefficient PG is larger than or equal to the evaluation threshold PGmax, the land planning rationality of the management area is judged to be not satisfied, a planning optimization signal is generated, and the planning optimization signal is sent to a mobile phone terminal of a manager.

As a preferred embodiment of the present invention, the method for operating the land information classification management system based on soil remote sensing data includes the steps of:

step one: the management area is subjected to area segmentation: acquiring a soil remote sensing image of a management area, carrying out gray level transformation on the remote sensing image, and carrying out area segmentation on the management area by a binary method to obtain a plurality of management areas;

step two: analyzing the land attribute suitability of the management area and obtaining the suitability coefficients of the business area, the water source area, the factory area and the planting area;

step three: performing feature management analysis on a management area of a management area to obtain an occupancy attribute, an occupancy coefficient ZY, a distribution attribute, a distribution coefficient FB, a saliency attribute and a saliency coefficient TC;

step four: and (3) carrying out evaluation analysis on land planning rationality of the management area: and carrying out numerical calculation on the occupancy coefficient ZY, the distribution coefficient FB and the salient coefficient TC to obtain an evaluation coefficient PG, and judging whether the land planning rationality of the management area meets the requirement or not through the evaluation coefficient.

The invention has the following beneficial effects:

1. the management area can be subjected to area segmentation processing through the area segmentation module, the image processing method is combined with the image characteristics of the land attribute to carry out area segmentation, the obtained land attributes of all management areas are marked, and data support is provided for attribute analysis;

2. the suitability degree of the soil attribute of the management area can be analyzed through the attribute analysis module, the spatial positions of the management areas with different soil attributes are analyzed, the suitability coefficient is obtained by combining the specific influence parameters of the spatial distribution of the soil attribute, and the spatial rationality of the management area is fed back through the suitability coefficient;

3. the feature management module can perform feature management analysis on the management areas of the management areas, and perform occupation attribute analysis, distribution attribute analysis and salient attribute analysis on the management areas with different land attributes to obtain occupation coefficients, distribution coefficients and salient coefficients, so that the remote sensing data features of the management areas are comprehensively displayed through the occupation attributes, the distribution attributes and the salient attributes;

4. the land planning rationality of the management area can be evaluated and analyzed through the evaluation and analysis module, the occupation coefficient, the distribution coefficient and the salient coefficient are subjected to numerical calculation to obtain an evaluation coefficient, and the reasonable degree of the land planning of the management area is fed back through the evaluation coefficient.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a system block diagram of a first embodiment of the present invention;

fig. 2 is a flowchart of a method according to a second embodiment of the invention.

Detailed Description

The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Example 1

As shown in fig. 1, the land information classification management system based on the soil remote sensing data comprises a region segmentation module, an attribute analysis module, a feature management module, an evaluation analysis module and a storage module, wherein the region segmentation module, the attribute analysis module, the feature management module, the evaluation analysis module and the storage module are sequentially in communication connection.

The region segmentation module is used for carrying out region segmentation processing on the management region: acquiring a soil remote sensing image of a management area, carrying out gray level transformation on the remote sensing image, and carrying out area segmentation on the management area by a binary method to obtain a plurality of management areas, wherein the soil properties of the management areas comprise business, water source, factories and planting; the method comprises the steps of sending a management area and a land attribute of the management area to an attribute analysis module; and carrying out region segmentation processing on the management region, carrying out region segmentation by adopting an image processing method and combining with image features of the land attributes, marking the obtained land attributes of all the management regions, and providing data support for attribute analysis.

The attribute analysis module is used for analyzing the suitability degree of the land attribute of the management area: marking the management areas with the land attribute of business, water source, factory and planting as business areas, water source areas, factory areas and planting areas respectively, and analyzing the suitability degree of the business areas: drawing a circle by taking the center point of the business area as the circle center and r1 as the radius to obtain a business influence area, and marking the ratio of the area value of the factory area in the business influence area to the area value of the business area as a proper coefficient of the business area; the water source area is subjected to suitability analysis: drawing a circle by taking the central point of the water source area as the circle center and r1 as the radius to obtain a water source influence area, and marking the ratio of the area value of the factory area in the water source influence area to the area value of the water source area as a proper coefficient of the water source area; and (3) carrying out suitability analysis on the planting area: drawing a circle by taking the central point of the planting area as the circle center and r1 as the radius to obtain a planting influence area, marking the sum of the area values of the water source area and the factory area in the planting influence area as an influence value, and marking the ratio of the influence value to the area value of the planting area as a proper coefficient of the planting area; analyzing the suitability of the factory area, drawing a circle by taking the center point of the factory area as the circle center and r1 as the radius to obtain a factory influence area, marking the sum of the area values of the business area, the water source area and the factory area in the factory influence area as a radiation value, and marking the ratio of the radiation value to the area value of the factory area as a suitability coefficient of the factory area; transmitting the appropriate coefficients of all the management areas to a feature management module; and analyzing the suitability degree of the land attribute of the management area, analyzing the spatial positions of the management areas with different land attributes, acquiring a suitability coefficient by combining the specific influence parameters of the spatial distribution of the land attribute, and feeding back the space rationality of the management area through the suitability coefficient.

The feature management module is used for carrying out feature management analysis on the management area of the management area: summing the area values of all commercial areas to obtain commercial occupation values, summing the area values of all water source areas to obtain water source occupation values, summing the area values of all factory areas to obtain factory occupation values, summing the area values of all planting areas to obtain planting occupation values, marking land attributes corresponding to the largest numerical value among the commercial occupation values, the water source occupation values, the factory occupation values and the planting occupation values as occupation attributes, summing and averaging the proper coefficients of the management areas with the land attributes as occupation attributes to obtain occupation coefficients ZY of the management areas; the occupancy attribute and the occupancy coefficient ZY are sent to a storage module for storage through an evaluation analysis module; the method comprises the steps of marking the number of business areas, water source areas, factory areas and planting areas in a management area as business values, water source values, factory values and planting values, marking land attributes corresponding to the maximum values in the business values, the water source values, the factory values and the planting values as distribution attributes, summing and averaging proper coefficients of the management areas with the land attributes as the distribution attributes to obtain distribution coefficients FB of the management area, and sending the distribution attributes and the distribution coefficients FB to a storage module for storage through an evaluation analysis module; the land attribute of the management area with the largest area value is marked as the salient attribute of the management area, the proper coefficient corresponding to the management area is marked as the salient coefficient TC, and the salient attribute and the salient coefficient TC are sent to a storage module for storage through an evaluation analysis module; and performing feature management analysis on the management areas of the management areas, and performing occupation attribute analysis, distribution attribute analysis and salient attribute analysis on the management areas of different land attributes to obtain occupation coefficients, distribution coefficients and salient coefficients, so that the remote sensing data features of the management areas are comprehensively displayed through the occupation attributes, the distribution attributes and the salient attributes.

The evaluation analysis module is used for evaluating and analyzing the land planning rationality of the management area: obtaining an evaluation coefficient PG of a management area through a formula PG=α1×zy+α2×FB+α3×TC, wherein α1, α2 and α3 are all proportional coefficients, and α1 > α2 > α3 > 1; acquiring an evaluation threshold value PGmax through a storage module, and comparing an evaluation coefficient PG with the evaluation threshold value PGmax: if the evaluation coefficient PG is smaller than the evaluation threshold PGmax, judging that the land planning rationality of the management area meets the requirement; if the evaluation coefficient PG is larger than or equal to the evaluation threshold PGmax, judging that the land planning rationality of the management area does not meet the requirement, generating a planning optimization signal and transmitting the planning optimization signal to a mobile phone terminal of a manager; and (3) carrying out evaluation analysis on the rationality of land planning in the management area, carrying out numerical calculation on the occupancy coefficient, the distribution coefficient and the salient coefficient to obtain an evaluation coefficient, and feeding back the rationality of the land planning in the management area through the evaluation coefficient.

Example two

As shown in fig. 2, the land information classification management method based on the soil remote sensing data comprises the following steps:

step one: the management area is subjected to area segmentation: acquiring a soil remote sensing image of a management area, carrying out gray level transformation on the remote sensing image, and carrying out area segmentation on the management area by a binary method to obtain a plurality of management areas;

step two: analyzing the land attribute suitability of the management area and obtaining the suitability coefficients of the business area, the water source area, the factory area and the planting area;

step three: performing feature management analysis on a management area of a management area to obtain an occupancy attribute, an occupancy coefficient ZY, a distribution attribute, a distribution coefficient FB, a saliency attribute and a saliency coefficient TC;

step four: and (3) carrying out evaluation analysis on land planning rationality of the management area: and carrying out numerical calculation on the occupancy coefficient ZY, the distribution coefficient FB and the salient coefficient TC to obtain an evaluation coefficient PG, and judging whether the land planning rationality of the management area meets the requirement or not through the evaluation coefficient.

The land information classification management system based on the soil remote sensing data acquires a soil remote sensing image of a management area during operation, performs gray level transformation on the remote sensing image, and performs area segmentation on the management area through a binary method to obtain a plurality of management areas; analyzing the land attribute suitability of the management area and obtaining the suitability coefficients of the business area, the water source area, the factory area and the planting area; performing feature management analysis on a management area of a management area to obtain an occupancy attribute, an occupancy coefficient ZY, a distribution attribute, a distribution coefficient FB, a saliency attribute and a saliency coefficient TC; and carrying out numerical calculation on the occupancy coefficient ZY, the distribution coefficient FB and the salient coefficient TC to obtain an evaluation coefficient PG, and judging whether the land planning rationality of the management area meets the requirement or not through the evaluation coefficient.

The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.

The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula pg=α1×zy+α2×fb+α3×tc; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding evaluation coefficient for each group of sample data; substituting the set evaluation coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 of 3.84, 3.05 and 2.73 respectively;

the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding evaluation coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the evaluation coefficient is directly proportional to the value of the occupancy coefficient.

In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (7)

1. The land information classification management system based on the soil remote sensing data is characterized by comprising a region segmentation module, an attribute analysis module, a characteristic management module, an evaluation analysis module and a storage module, wherein the region segmentation module, the attribute analysis module, the characteristic management module, the evaluation analysis module and the storage module are sequentially in communication connection;

the region segmentation module is used for carrying out region segmentation processing on the management region: acquiring a soil remote sensing image of a management area, carrying out gray level transformation on the remote sensing image, and carrying out area segmentation on the management area by a binary method to obtain a plurality of management areas, wherein the soil properties of the management areas comprise business, water source, factories and planting; the method comprises the steps of sending a management area and a land attribute of the management area to an attribute analysis module;

the attribute analysis module is used for analyzing the suitability degree of the soil attribute of the management area: marking the management areas with the land attribute of business, water source, factory and planting as business areas, water source areas, factory areas and planting areas respectively, obtaining the proper coefficients of the business areas, the water source areas, the factory areas and the planting areas and sending the proper coefficients to a characteristic management module;

the feature management module is used for carrying out feature management analysis on a management area of a management area;

the evaluation analysis module is used for evaluating and analyzing the land planning rationality of the management area.

2. The land information classification management system based on soil remote sensing data as claimed in claim 1, wherein the commercial area is subjected to fitness analysis: drawing a circle by taking the center point of the business area as the circle center and r1 as the radius to obtain a business influence area, and marking the ratio of the area value of the factory area in the business influence area to the area value of the business area as a proper coefficient of the business area; the water source area is subjected to suitability analysis: drawing a circle by taking the central point of the water source area as the circle center and r1 as the radius to obtain a water source influence area, and marking the ratio of the area value of the factory area in the water source influence area to the area value of the water source area as a proper coefficient of the water source area; and carrying out suitability analysis on the planting area.

3. The land information classification management system based on soil remote sensing data according to claim 2, wherein a planting influence area is obtained by drawing a circle with a center point of the planting area as a circle center and r1 as a radius, a sum of area values of a water source area and a factory area in the planting influence area is marked as an influence value, and a ratio of the influence value to the area value of the planting area is marked as a suitability coefficient of the planting area; and (3) analyzing the suitability degree of the factory area, drawing a circle by taking the center point of the factory area as the center, taking r1 as the radius to obtain a factory influence area, marking the sum of the area values of the business area, the water source area and the factory area in the factory influence area as a radiation value, and marking the ratio of the radiation value to the area value of the factory area as a suitability coefficient of the factory area.

4. The land information classification management system based on soil remote sensing data as set forth in claim 3, wherein the specific process of the feature management module performing feature management analysis on the management area of the management area comprises: summing the area values of all commercial areas to obtain commercial occupation values, summing the area values of all water source areas to obtain water source occupation values, summing the area values of all factory areas to obtain factory occupation values, summing the area values of all planting areas to obtain planting occupation values, marking land attributes corresponding to the largest numerical value among the commercial occupation values, the water source occupation values, the factory occupation values and the planting occupation values as occupation attributes, summing and averaging the proper coefficients of the management areas with the land attributes as occupation attributes to obtain occupation coefficients ZY of the management areas; the occupancy attribute and the occupancy coefficient ZY are sent to a storage module for storage through an evaluation analysis module; and sending the salient attributes and the salient coefficients TC to a storage module for storage through an evaluation analysis module.

5. The land information classification management system based on soil remote sensing data as set forth in claim 4, wherein the process of obtaining the distribution coefficient FB and the protrusion coefficient TC comprises: the method comprises the steps of marking the number of business areas, water source areas, factory areas and planting areas in a management area as business values, water source values, factory values and planting values, marking land attributes corresponding to the maximum values in the business values, the water source values, the factory values and the planting values as distribution attributes, summing and averaging proper coefficients of the management areas with the land attributes as the distribution attributes to obtain distribution coefficients FB of the management area, and sending the distribution attributes and the distribution coefficients FB to a storage module for storage through an evaluation analysis module; the land attribute of the management area with the largest area value is marked as the salient attribute of the management area, the proper coefficient corresponding to the management area is marked as the salient coefficient TC, and the salient attribute and the salient coefficient TC are sent to the storage module for storage through the evaluation analysis module.

6. The land information classification management system based on soil remote sensing data as set forth in claim 5, wherein the specific process of evaluating and analyzing the land planning rationality of the management area by the evaluation and analysis module comprises: obtaining an evaluation coefficient PG of the management area by carrying out numerical calculation on the occupancy coefficient ZY, the distribution coefficient FB and the salient coefficient TC; acquiring an evaluation threshold value PGmax through a storage module, and comparing an evaluation coefficient PG with the evaluation threshold value PGmax: if the evaluation coefficient PG is smaller than the evaluation threshold PGmax, judging that the land planning rationality of the management area meets the requirement; if the evaluation coefficient PG is larger than or equal to the evaluation threshold PGmax, the land planning rationality of the management area is judged to be not satisfied, a planning optimization signal is generated, and the planning optimization signal is sent to a mobile phone terminal of a manager.

7. The land information classification management system based on soil remote sensing data as set forth in any one of claims 1 to 6, wherein the working method of the land information classification management system based on soil remote sensing data comprises the steps of:

step one: the management area is subjected to area segmentation: acquiring a soil remote sensing image of a management area, carrying out gray level transformation on the remote sensing image, and carrying out area segmentation on the management area by a binary method to obtain a plurality of management areas;

step two: analyzing the land attribute suitability of the management area and obtaining the suitability coefficients of the business area, the water source area, the factory area and the planting area;

step three: performing feature management analysis on a management area of a management area to obtain an occupancy attribute, an occupancy coefficient ZY, a distribution attribute, a distribution coefficient FB, a saliency attribute and a saliency coefficient TC;

step four: and (3) carrying out evaluation analysis on land planning rationality of the management area: and carrying out numerical calculation on the occupancy coefficient ZY, the distribution coefficient FB and the salient coefficient TC to obtain an evaluation coefficient PG, and judging whether the land planning rationality of the management area meets the requirement or not through the evaluation coefficient.