Comparison of classification algorithms and training sample sizes in urban land classification with landsat thematic mapper imagery

Remote Sensing

Volumn 6, Issue 2, 2014, Pages 964-983

  Li, Congcong ^a   Wang, Jie ^b   Wang, Lei ^b   Hu, Luanyun ^c   Gong, Peng ^b,c,d,e  

^a BEIJING NORMAL UNIVERSITY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c TSINGHUA UNIVERSITY   (China)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e JOINT CENTER FOR GLOBAL CHANGE STUDIES   (China)

Author keywords

Logistic regression; Machine learning; Maximum likelihood classification; Random forests; Support vector machine; Tree classifiers

Indexed keywords

EID: 84894607481     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6020964     Document Type: Article

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