Abstract The application of high spatial resolution remote sensing images to the study of LUCC has promoted the further
development of remote sensing classification techniques in three aspects, namely classification object, classification features
and classifiers. This paper gives a review of the new progress, describes the representative methods, analyzes characteristics of
various methods, and summarizes the progress in the study of remote sensing classification.
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