Multiple classifier systems for classification of multifrequency PolSAR images with limited training samples
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DOI: 10.1080/01431161.2018.1471543
Abstract: ABSTRACT The aim of this article is to improve land-cover classification accuracy from multifrequency full-polarimetric synthetic aperture radar (PolSAR) observations using multiple classifier systems (MCSs) when limited training samples are available. Two types of popular… read more here.
Keywords: based mcss; classification; polsar; training samples ... See more keywords