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

Kiala et al., 2021 - Google Patents

Optimal window period for mapping Parthenium weed in South Africa, using high temporal resolution imagery and the ExtraTrees classifier

Kiala et al., 2021

View PDF
Document ID
5147173886856012724
Author
Kiala Z
Mutanga O
Odindi J
Masemola C
Publication year
Publication venue
Biological Invasions

External Links

Snippet

Parthenium weed (Parthenium hysterophorus) is one of the most noxious herbaceous weeds in the world with adverse impacts on among others animal and human health, crop production, the environment, local as well as national economies. To optimize Parthenium …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • 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
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587—Details of specialised database models
    • G06F17/30595—Relational databases
    • G06F17/30598—Clustering or classification
    • G06F17/30601—Clustering or classification including cluster or class visualization or browsing
    • 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
    • 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
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • 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
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • 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
    • G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30994—Browsing or visualization
    • 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
    • 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
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management

Similar Documents

Publication Publication Date Title
Villoslada et al. Fine scale plant community assessment in coastal meadows using UAV based multispectral data
Bey et al. Mapping smallholder and large-scale cropland dynamics with a flexible classification system and pixel-based composites in an emerging frontier of Mozambique
Mudereri et al. A comparative analysis of planetscope and sentinel sentinel-2 space-borne sensors in mapping striga weed using guided regularised random forest classification ensemble
Chrysafis et al. Estimating Mediterranean forest parameters using multi seasonal Landsat 8 OLI imagery and an ensemble learning method
Adelabu et al. Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image
George et al. Forest tree species discrimination in western Himalaya using EO-1 Hyperion
Rao et al. Development of an agricultural crops spectral library and classification of crops at cultivar level using hyperspectral data
Kganyago et al. Evaluating the capability of Landsat 8 OLI and SPOT 6 for discriminating invasive alien species in the African Savanna landscape
Mngadi et al. Examining the effectiveness of Sentinel-1 and 2 imagery for commercial forest species mapping
Mutanga et al. Mapping alien and indigenous vegetation in the KwaZulu-Natal Sandstone Sourveld using remotely sensed data
Adjorlolo et al. Estimation of canopy nitrogen concentration across C3 and C4 grasslands using WorldView-2 multispectral data
Dube et al. Remote sensing of invasive Lantana camara (Verbenaceae) in semiarid savanna rangeland ecosystems of South Africa
Mudereri et al. A two-step approach for detecting Striga in a complex agroecological system using Sentinel-2 data
Shimabukuro et al. Discriminating land use and land cover classes in Brazil based on the annual PROBA-V 100 m time series
Kopeć et al. Application of airborne hyperspectral data for mapping of invasive alien Spiraea tomentosa L.: A serious threat to peat bog plant communities
Dhau et al. Detection and mapping of maize streak virus using RapidEye satellite imagery
Kiala et al. Optimal window period for mapping Parthenium weed in South Africa, using high temporal resolution imagery and the ExtraTrees classifier
Demir et al. Determination of opium poppy (Papaver somniferum) parcels using high-resolution satellite imagery
Yang et al. Forest edges near farms enhance wheat productivity measures: a test using high spatial resolution remote sensing of smallholder farms in southern Ethiopia
Kiala et al. Automated classification of a tropical landscape infested by Parthenium weed (Parthenium hyterophorus)
Arasumani et al. Mapping native and non-native vegetation communities in a coastal wetland complex using multi-seasonal Sentinel-2 time series
Richard et al. Estimating maize lethal necrosis (MLN) severity in Kenya using multispectral high-resolution data
Kiala et al. A hybrid feature method for handling redundant features in a Sentinel-2 multidate image for mapping Parthenium weed
Graw et al. Bush Encroachment Mapping for Africa: Multi-scale analysis with remote sensing and GIS
Dubula et al. Assessing the potential of remote sensing to discriminate invasive Asparagus laricinus from adjacent land cover types