As one of the most popular topics in polarimetric synthetic aperture radar (PolSAR)
community, PolSAR image classification has always been an important way for PolSAR …

Feature extraction plays a pivotal role in processing remote sensing datasets, especially in
the realm of fully polarimetric data. This review investigates a variety of polarimetric …

极化合成孔径雷达(SAR) 能够获取目标的全极化信息, 在对地观测, 灾害评估,
侦察监视等民用和军用领域得到广泛应用. 国内主要高校, 中科院, 工业部门和用户单位在该领域 …

Highly variable polarimetric signatures caused by complex structures in built-up areas make
interpretation of these scattering behaviors intractable for polarimetric synthetic aperture …

This study compares the utility of multifrequency SAR and Optical multispectral data for land-
cover classification of Mumbai city and its nearby regions with a special focus on water body …

Target decomposition methods from polarimetric Synthetic Aperture Radar (PolSAR) data
provides target scattering information. In this regard, several conventional model-based …

Model-based decomposition methods are widely used in full-polarization synthetic aperture
radar (SAR), for the inversion and interpretation of ground features and constitute an …

Due to the inappropriate estimation and inadequate awareness of scattering from complex
substructures within ships, a reasonable, reliable, and complete interpretation tool to …

We propose a generic Scattering Power Factorization Framework (SPFF) for Polarimetric
Synthetic Aperture Radar (PolSAR) data to directly obtain $ N $ scattering power …

Radar polarimetry has been highly sought after for its use in the precise monitoring of Earth's
surface. Polarimetric SAR Imaging explains the basic concepts of polarimetry and its diverse …