A multi-temporal binary-tree classification using polarimetric RADARSAT-2 imagery
Abstract
The polarimetric Synthetic Aperture Radar (PolSAR) signal contains more parameters than single or dual polarized SAR when using a scattering matrix to characterize targets. The increased information content of PolSAR provides more potential inputs for machine learning and classification applications; however, polarimetric parameters tend to be simply used as input variables and the optimum parameters to efficiently separate land classes and...
Paper Details
Title
A multi-temporal binary-tree classification using polarimetric RADARSAT-2 imagery
Published Date
Dec 1, 2019
Volume
235
Pages
111478 - 111478
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