Supervised PolSAR Image Classification with Multiple Features and Locally Linear Embedding. [PDF]
Zhang Q, Wei X, Xiang D, Sun M.
europepmc +1 more source
Marine Oil Pollution Monitoring Based on a Morphological Attention U-Net Using SAR Images. [PDF]
Chang L +4 more
europepmc +1 more source
Polarimetric Calibration and Quality Assessment of the GF-3 Satellite Images. [PDF]
Chang Y +5 more
europepmc +1 more source
An Adaptive Nonlocal Mean Filter for PolSAR Data with Shape-Adaptive Patches Matching. [PDF]
Shen P, Wang C, Gao H, Zhu J.
europepmc +1 more source
A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance. [PDF]
Yi H, Yang J, Li P, Shi L, Lang F.
europepmc +1 more source
Evaluation Model Based on the SGCNiFormer for the Influence of Different Storage Environments on Wheat Quality. [PDF]
Zhang Q, Song Z, Bi M.
europepmc +1 more source
Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data. [PDF]
Zhou W +7 more
europepmc +1 more source
Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images
International audienceThis paper proposes a new unsupervised image segmentation method for multilook polarimetric synthetic aperture radar (PolSAR) data. The statistical model for the PolSAR data is considered as a finite mixture of non-Gaussian compound
Stéphane Meric, Nizar Bouhlel
exaly +2 more sources
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Polarimetric Synthetic Aperture Radar (PolSAR) is one of the most important remote sensing tools.
Jodavid A. Ferreira +2 more
openaire +1 more source
CFAR Ship Detection in Polarimetric Synthetic Aperture Radar Images Based on Whitening Filter [PDF]
Polarimetric whitening filter (PWF) can be used to filter polarimetric synthetic aperture radar (PolSAR) images to improve the contrast between ships and sea clutter background. For this reason, the output of the filter can be used to detect ships.
Jian Yang, Armando Marino, Tao Liu
exaly +2 more sources

