Jan 15, 2018 · The performance of the proposed method is demonstrated and validated with spaceborne and airborne fully PolSAR data over different test sites.
Abstract—Urban area extraction using polarimetric synthetic aperture radar (PolSAR) data has become a potential mean to ur- ban studies because it holds the ...
In this paper, an eigenvalue-based urban area extraction method is proposed. First, similar to the entropy/anisotropy plane, a two-dimensional RVI/PA plane is ...
Eigenvalue-Based Urban Area Extraction Using Polarimetric SAR Data. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11(2):458-471, 2018. [doi].
Eigenvalue-Based Urban Area Extraction Using Polarimetric SAR Data. S. Quan, B. Xiong, D. Xiang, L. Zhao, S. Zhang, and G. Kuang. IEEE J Sel.
Mar 28, 2024 · Experimental results demonstrate that the method can distinguish between urban and natural areas with high accuracy and has good visual effects ...
The proposed method provides an acceptable overall accuracy of approximately 80%-90% at a 100-m spatial scale and it is shown that texture-based classifiers ...
An Improved Urban Area Extraction Method for PolSAR Data Using Eigenvalues and Optimal Roll-Invariant Features · Engineering, Environmental Science. IEEE Journal ...
People also ask
What is Polarimetric data?
What is SAR data?
Comprehensively analyzing optical and polarimetric SAR features for land-use/land-cover classification and urban vegetation extraction in highly-dense urban ...
Polarization decomposition is the most commonly used interpretation method in polarimetric SAR, which decomposes the polarization measurement data into multiple ...