A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments

International Journal of Applied Earth Observation and Geoinformation

Volumn 49, Issue , 2016, Pages 87-98

  Li, Manchun ^a   Ma, Lei ^a,b   Blaschke, Thomas ^b   Cheng, Liang ^a   Tiede, Dirk ^b  

^a NANJING UNIVERSITY   (China)

^b UNIVERSITY OF SALZBURG   (Austria)

Author keywords

Classification; Feature selection; GEOBIA; High spatial resolution; Mixed object; OBIA; Random Forest; Segmentation scale; Training set size

Indexed keywords

IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGERY; REMOTE SENSING; SEGMENTATION; SPATIAL RESOLUTION; SUPPORT VECTOR MACHINE;

CHINA;

EID: 85017406334     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2016.01.011     Document Type: Article

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