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

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

Urban area extraction using polarimetric synthetic aperture radar (PolSAR) data is an important application for urban planning and disaster assessment. Due to the variability in urban structures, the problem of mistaking built-up areas for vegetation remains challenging. Then, a new urban extraction...

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Bibliographic Details
Main Authors: Yu Wang, Weidong Yu, Ruishi Wang, Li Wang, Daqing Ge, Xiuqing Liu, Chunle Wang, Bin Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Eigenvalue-based method
hidden features selection
optimal ratio of correlation coefficient
polarimetric synthetic aperture radar (PolSAR)
urban area extraction
Online Access:https://ieeexplore.ieee.org/document/10458340/

Internet

https://ieeexplore.ieee.org/document/10458340/

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