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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Principais autores:	Yu Wang, Weidong Yu, Ruishi Wang, Li Wang, Daqing Ge, Xiuqing Liu, Chunle Wang, Bin Liu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Eigenvalue-based method hidden features selection optimal ratio of correlation coefficient polarimetric synthetic aperture radar (PolSAR) urban area extraction
גישה מקוונת:	https://ieeexplore.ieee.org/document/10458340/
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