Comparing machine learning classifiers for object-based land cover classification using very high resolution imagery

Remote Sensing

Volumn 7, Issue 1, 2015, Pages 153-168

  Qian, Yuguo ^a   Zhou, Weiqi ^a   Yan, Jingli ^a   Li, Weifeng ^a   Han, Lijian ^a  

^a RESEARCH CENTER FOR ECO ENVIRONMENTAL SCIENCES   (China)

Author keywords

Machine learning classifiers; Object based classification; Tuning parameters; Urban area; Very high resolution image

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; SAMPLING; SUPPORT VECTOR MACHINES; NEAREST NEIGHBOR SEARCH;

CLASSIFICATION ACCURACY; CLASSIFICATION AND REGRESSION TREE; K NEAREST NEIGHBOR (KNN); LAND COVER CLASSIFICATION; OBJECT-BASED CLASSIFICATIONS; TUNING PARAMETER; URBAN AREAS; VERY HIGH RESOLUTION (VHR) IMAGE;

CLASSIFICATION (OF INFORMATION);

EID: 84920812571     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70100153     Document Type: Article

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