Classification for Polsar image based on hölder divergences
(Dis)similarity measures play an important role in the interpretation of polarimetric synthetic aperture radar (PolSAR) images. Here, the authors introduce a kind of similarity measures for PolSAR images based on the concepts of Hölder pseudo-divergence ...
Ting Pan +4 more
doaj +1 more source
Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information. [PDF]
Chen Y, Wang Z.
europepmc +1 more source
Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples. [PDF]
Zhao M, Cheng Y, Qin X, Yu W, Wang P.
europepmc +1 more source
Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. [PDF]
Liu X +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
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
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
Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence. [PDF]
Imani M.
europepmc +1 more source
Asep Saepuloh, Erwin Bakker
openaire +1 more source
Semantic segmentation of PolSAR image data using advanced deep learning model. [PDF]
Garg R +4 more
europepmc +1 more source

