An iterative, generalized hybrid polarimetric decomposition, combining model-based and
eigen-based techniques together with a generalized vegetation model, is developed for soil …

This study investigates and compares the potential of three model-based polarimetric
decompositions, namely those developed by Freeman-Durden (1998), Hajnsek et al.(2009) …

The aim of this paper was to estimate soil moisture in agricultural crop fields from fully
polarimetric L-band synthetic aperture radar (SAR) data through the polarimetric …

Recently, we have proposed a retrieval technique based on an original polarimetric two-
scale model (PTSM), which is able to estimate the volumetric water content of bare soils from …

This paper focuses on the development of a novel algorithm for deriving snowpack density
over the snow-covered region of the Himalayas. The analysis utilizes fully polarimetric …

This paper reflects the polarimetric synthetic aperture radar (POLSAR) data utilization for
near-real-time earthquake and/or tsunami damage assessment in urban areas. In order to …

In this article, an algorithm for snow depth (SD) and snow water equivalent (SWE) retrieval is
proposed based on a polarimetric synthetic aperture radar (SAR) decomposition model and …

Classification based on polarimetric synthetic aperture radar (PolSAR) images is an
emerging technology, and recent years have seen the introduction of various classification …

This study presents a hybrid technique for polarimetric synthetic aperture radar (PolSAR)
data decomposition. The proposed technique aims to overcome the negative power problem …

As an improvement of the four-component scattering power decomposition with rotation of
coherency matrix (Y4R) and extension of volume model (S4R), the general four-component …