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...

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Detalles Bibliográficos
Autores principales: Qu, Junrong, Qiu, Xiaolan, Ding, Chibiao, Lei, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918653/
https://www.ncbi.nlm.nih.gov/pubmed/33673186
http://dx.doi.org/10.3390/s21041317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918653/
https://www.ncbi.nlm.nih.gov/pubmed/33673186
http://dx.doi.org/10.3390/s21041317

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