Optimal segmentation scale parameter, feature subset and classification algorithm for geographic object-based crop recognition using multisource satellite imagery

Remote Sensing

Volumn 11, Issue 5, 2019, Pages

  Yang, Lingbo ^a   Mansaray, Lamin R ^a,b   Huang, Jingfeng ^a   Wang, Limin ^c,d  

^a ZHEJIANG UNIVERSITY   (China)

^b Sierra Leone Agricultural Research Institute (SLARI)   (Sierra Leone)

^c INSTITUTE OF PLANT PROTECTION   (China)

^d AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

Crop recognition; Feature selection; GEOBIA; IEnRFE; Multisource satellite data; Optimal segmentation scale parameter

Indexed keywords

CROPS; DATA MINING; DECISION TREES; FEATURE EXTRACTION; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; PARAMETER ESTIMATION; REMOTE SENSING; SATELLITE IMAGERY; SUPPORT VECTOR MACHINES;

CROP RECOGNITION; GEOBIA; IENRFE; SATELLITE DATA; SCALE PARAMETER;

CLASSIFICATION (OF INFORMATION);

EID: 85062976622     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs11050514     Document Type: Article

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