Unsupervised Classification of Polarimetric SAR Image Based on Geodesic Distance and Non-Gaussian Distribution Feature. [PDF]
Sensors (Basel), 2021 Qu J, Qiu X, Ding C, Lei B.
europepmc +1 more source
Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method. [PDF]
Sensors (Basel), 2021 Zhu L, Ma X, Wu P, Xu J.
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Advanced machine learning algorithms for Canadian wetland mapping using polarimetric synthetic aperture radar (PolSAR) and optical imagery [PDF]
, 2019 Masoud Mahdianpari
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Dryland Crop Classification Combining Multitype Features and Multitemporal Quad-Polarimetric RADARSAT-2 Imagery in Hebei Plain, China. [PDF]
Sensors (Basel), 2021 Wang D, Liu CA, Zeng Y, Tian T, Sun Z.
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Coastal Wetland Classification with GF-3 Polarimetric SAR Imagery by Using Object-Oriented Random Forest Algorithm. [PDF]
Sensors (Basel), 2021 Zhang X, Xu J, Chen Y, Xu K, Wang D.
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SAR image matching based on rotation-invariant description. [PDF]
Sci Rep, 2023 Chang Y +5 more
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Soil Moisture Retrieval in Farmland Areas with Sentinel Multi-Source Data Based on Regression Convolutional Neural Networks. [PDF]
Sensors (Basel), 2021 Liu J, Xu Y, Li H, Guo J.
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KummerU clutter model for PolSAR data: Application to segmentation and classification
, 2010 International audienceIn this paper, Spherically Invariant Random Vectors (SIRV) are introduced to describe the heterogeneity of the Polarimetric Synthetic Aperture Radar (PolSAR) clutter.
Bombrun, Lionel +4 more
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Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]
Sci RepImani M.
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An Efficient Approach for Inverting the Soil Salinity in Keriya Oasis, Northwestern China, Based on the Optical-Radar Feature-Space Model. [PDF]
Sensors (Basel), 2022 Muhetaer N +4 more
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