The impact of training class proportions on binary cropland classification

Remote Sensing Letters

Volumn 8, Issue 12, 2017, Pages 1122-1131

  Waldner, François ^a   Jacques, Damien C ^a   Löw, Fabian ^b  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b MapTailor Geospatial Consulting   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BUDGET CONTROL; DECISION TREES; LEARNING SYSTEMS; REFORESTATION;

AGRICULTURAL LANDSCAPES; BINARY CLASSIFICATION; CALIBRATION SAMPLES; CLASSIFICATION ACCURACY; DATA COLLECTION STRATEGIES; NUMBER OF SAMPLES; SUPERVISED CLASSIFIERS; SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUES;

CLASSIFICATION (OF INFORMATION);

EID: 85027573788     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2017.1362124     Document Type: Article

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