Unsupervised Semantic Segmentation of PolSAR Images Based on Multiview Similarity-Reference-Cited by-同舟云学术

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Unsupervised Semantic Segmentation of PolSAR Images Based on Multiview Similarity

Published:2024 Issue: Volume:17 Page:5317-5331
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Meilin¹^ORCID,Zou Huanxin²^ORCID,Dong Zhen²,Qin Xianxiang³^ORCID,Liu Shuo²^ORCID,Zhang Yuqing²^ORCID

Affiliation:

1. College of Geospatial Information, Information Engineering University, Zhengzhou, China

2. College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

3. College of Information and Navigation, Air Force Engineering University, Xi'an, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10433657.pdf?arnumber=10433657

Reference52 articles.

1. Polarisation: Applications in Remote Sensing

2. Target Scattering Mechanism in Polarimetric Synthetic Aperture Radar

3. Polarimetric Radar Imaging

4. Superpixel-Oriented Classification of PolSAR Images Using Complex-Valued Convolutional Neural Network Driven by Hybrid Data

5. A tutorial on spectral clustering

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