Amplitude-Driven-Adaptive-Neighbourhood Filtering of High-Resolution Pol-InSAR Information [PDF]
International audienceIn this paper a new method for fltering coherency matrices issued from Synthetic Aperture Radar (SAR) polarimetric interferometric data is presented.
Gay, Michel +3 more
core +1 more source
Due to the all-time and all-weather characteristics of synthetic aperture radar (SAR) data, they have become an important input for optical image restoration, and various cloud removal datasets based on SAR-optical have been proposed.
Yuxi Wang +7 more
doaj +1 more source
A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]
Sadeghi F +4 more
europepmc +1 more source
A Deep Learning Classification Scheme for PolSAR Image Based on Polarimetric Features
Polarimetric features extracted from polarimetric synthetic aperture radar (PolSAR) images contain abundant back-scattering information about objects.
Shuaiying Zhang +3 more
doaj +1 more source
Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence. [PDF]
Imani M.
europepmc +1 more source
Semantic segmentation of PolSAR image data using advanced deep learning model. [PDF]
Garg R +4 more
europepmc +1 more source
Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter. [PDF]
Shen Y, Ma X, Zhu S, Xu J.
europepmc +1 more source
Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery. [PDF]
Koukiou G.
europepmc +1 more source
Integration of Fine Model-Based Decomposition and Guard Filter for Ship Detection in PolSAR Images. [PDF]
Liu D, Han L.
europepmc +1 more source
Unsupervised Classification of Polarimetric SAR Image Based on Geodesic Distance and Non-Gaussian Distribution Feature. [PDF]
Qu J, Qiu X, Ding C, Lei B.
europepmc +1 more source

