A knowledge-based procedure for remote sensing image classification
FSKD（2014）
Abstract
Object-based image analysis (OBIA) in combination with domain knowledge is an important methodology for remote sensing image interpretation. It can deal with semantic gap effectively. In this paper, a knowledge-based procedure for remote sensing image classification is presented. Domain knowledge is represented with semantic network, which guides the initial classification of the image. A quantitative matching degree is used in the modification of the initial classification. The proposed procedure is much more efficient compared with method in literature.
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Key words
OBIA,remote sensing image classification,remote sensing,image matching,semantic networks,semantic network,object-based image analysis,domain knowledge representation,Object-based image analysis,remote sensing image interpretation,image classification,geophysical image processing,knowledge-based procedure,matching degree,semantic gap,quantitative matching degree
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