A Novel Unsupervised Classification Method for Sandy Land Using Fully Polarimetric SAR Data

A Novel Unsupervised Classification Method for Sandy Land Using Fully Polarimetric SAR Data

Classification based on polarimetric synthetic aperture radar (PolSAR) images is an emerging technology, and recent years have seen the introduction of various classification methods that have been proven to be effective to identify typical features of many terrain types. Among the many regions of t...

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Bibliographic Details
Main Authors: Weixian Tan, Borong Sun, Chenyu Xiao, Pingping Huang, Wei Xu, Wen Yang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
decomposition
large-scale spectral clustering
PolSAR image
superpixels
unsupervised classification
Online Access:https://www.mdpi.com/2072-4292/13/3/355

Internet

https://www.mdpi.com/2072-4292/13/3/355

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