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
Estimation of the normalized coherency matrix through the SIRV model. Application to high resolution POLSAR data [PDF]
8 pagesInternational audienceIn the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) modelling for coherency matrix estimation in ...
Gay, Michel +3 more
core +2 more sources
Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence. [PDF]
Imani M.
europepmc +1 more source
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
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
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
Assessment of GF3 Full-Polarimetric SAR Data for Dryland Crop Classification with Different Polarimetric Decomposition Methods. [PDF]
Wang M +6 more
europepmc +1 more source

