Nothing Special   »   [go: up one dir, main page]

Van Niekerk, 2010 - Google Patents

A comparison of land unit delineation techniques for land evaluation in the Western Cape, South Africa

Van Niekerk, 2010

View PDF
Document ID
16640662819043147637
Author
Van Niekerk A
Publication year
Publication venue
Land use policy

External Links

Snippet

Land evaluation, an integral part of land use planning, has been established as one of the preferred methods to support sustainable land use management. In essence, land evaluation aims to compare and match each potential land use with the properties of …
Continue reading at scholar.sun.ac.za (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Van Niekerk A comparison of land unit delineation techniques for land evaluation in the Western Cape, South Africa
Amatya et al. Landslide mapping using object-based image analysis and open source tools
EP3853807B1 (en) Generation of synthetic high-elevation digital images from temporal sequences of high-elevation digital images
Ehsani et al. Geomorphometric feature analysis using morphometric parameterization and artificial neural networks
Bastin Comparison of fuzzy c-means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixels
Drăguţ et al. Automated object-based classification of topography from SRTM data
Chen et al. Object-based change detection
Fanos et al. A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data
Chen et al. An object-based method for urban land cover classification using airborne lidar data
Hecht et al. Automatic derivation of urban structure types from topographic maps by means of image analysis and machine learning
Mokarram et al. A review of landform classification methods
Wu et al. A comparison of pixel-based decision tree and object-based Support Vector Machine methods for land-cover classification based on aerial images and airborne lidar data
Gruber et al. Algorithms vs. surveyors: A comparison of automated landform delineations and surveyed topographic positions from soil mapping in an Alpine environment
Shahi et al. Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery
Cano et al. Improved forest-cover mapping based on MODIS time series and landscape stratification
Vidal-Macua et al. Developing spatially and thematically detailed backdated maps for land cover studies
Munyati Optimising multiresolution segmentation: delineating savannah vegetation boundaries in the Kruger National Park, South Africa, using Sentinel 2 MSI imagery
Bar Massada et al. Automated segmentation of vegetation structure units in a Mediterranean landscape
Tormos et al. Object-based image analysis for operational fine-scale regional mapping of land cover within river corridors from multispectral imagery and thematic data
Garajeh et al. Detecting and mapping karst landforms using object-based image analysis: Case study: Takht-Soleiman and Parava Mountains, Iran
Gong Integrated analysis of spatial data from multiple sources: an overview
Deb et al. Land use/cover classification-An introduction review and comparison
Dekavalla et al. Evaluation of a spatially adaptive approach for land surface classification from digital elevation models
Wicks et al. Polygon-based aggregation of remotely sensed data for regional ecological analyses
Niedzielski et al. Automated snow extent mapping based on orthophoto images from unmanned aerial vehicles