An evaluation of different training sample allocation schemes for discrete and continuous land cover classification using decision tree-based algorithms

Remote Sensing

Volumn 7, Issue 8, 2015, Pages 9655-9681

  Colditz, René Roland ^a  

^a National Commission for the Knowledge and Use of Biodiversity (CONABIO)   (Mexico)

Author keywords

Class membership estimation; Classification tree; Discrete classification; MODIS; National land cover dataset of the united states 2006; Regression tree; Sample allocation schemes; Training data

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES; IMAGE RESOLUTION; PIXELS; RADIOMETERS; RANDOM ERRORS; REGRESSION ANALYSIS; SATELLITE IMAGERY;

CLASSIFICATION TREES; DISCRETE CLASSIFICATION; LAND COVER; MODIS; REGRESSION TREES; TRAINING DATA;

MAPPING;

EID: 84939449765     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70809655     Document Type: Article

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