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Unsupervised Classification of Polarimetric SAR Image Based on Geodesic Distance and Non-Gaussian Distribution Feature

Polarimetric synthetic aperture radar (PolSAR) image classification plays a significant role in PolSAR image interpretation. This letter presents a novel unsupervised classification method for PolSAR images based on the geodesic distance and K-Wishart distribution. The geodesic distance is obtained...

詳細記述

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Qu, Junrong, Qiu, Xiaolan, Ding, Chibiao, Lei, Bin
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7918653/
https://ncbi.nlm.nih.gov/pubmed/33673186
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21041317
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