A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameter-Based Unsupervised Classification Scheme Using a Geodesic Distance-Reference-Cited by-同舟云学术

A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameter-Based Unsupervised Classification Scheme Using a Geodesic Distance

Published:2020-05 Issue:5 Volume:58 Page:3509-3525
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ratha Debanshu^ORCID,Pottier Eric^ORCID,Bhattacharya Avik^ORCID,Frery Alejandro C.^ORCID

Funder

CNPq

Fundação de Amparo à Pesquisa do Estado de Alagoas

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9076128/08946891.pdf?arnumber=8946891

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2. Exploring Diverse Polarimetric Information Contents from SAR Data;2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR);2023-10-23

3. Scattering Power Components from Dual-Pol SLC and GRD SAR Data;2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR);2023-10-23

4. Target Description Using the Full-Polarimetric Scattering Spectrum;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. Complex matrix and multi-feature collaborative learning for polarimetric SAR image classification;Applied Soft Computing;2023-02