An Improved Urban Area Extraction Method for PolSAR Data Using Eigenvalues and Optimal Roll-Invariant Features-Reference-Cited by-同舟云学术

An Improved Urban Area Extraction Method for PolSAR Data Using Eigenvalues and Optimal Roll-Invariant Features

Published:2024 Issue: Volume:17 Page:6455-6467
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:

Wang Yu¹^ORCID,Yu Weidong²^ORCID,Wang Ruishi³^ORCID,Wang Li⁴^ORCID,Ge Daqing¹^ORCID,Liu Xiuqing²^ORCID,Wang Chunle²^ORCID,Liu Bin¹^ORCID

Affiliation:

1. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Natural Resources, Beijing, China

2. Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. Weifang Special Equipment Inspection and Research Institute, Shandong, China

4. S&A, CSIRO, Bentley, WA, Australia

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10458340.pdf?arnumber=10458340

Reference38 articles.

1. Polarimetric radar imaging: From basics to applications;Lee;Francis Group Boca Raton ISBN,2009

2. Classification of PolSAR Images Based on Adaptive Nonlocal Stacked Sparse Autoencoder

3. Damage assessment in urban areas using post-earthquake airborne PolSAR imagery

4. Model-Based Decomposition With Cross Scattering for Polarimetric SAR Urban Areas

5. Semantic Segmentation of Built-UP Areas in SAR Images Based on Improved YOLOv7 Model