IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) image classification is a critical application of remote sensing image interpretation. Most of the early algorithms that use hand-crafted features to divide the image into various scattering categories have ...
Yixin Zuo +3 more
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A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]
Sensors (Basel), 2023 Sadeghi F +4 more
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Multiscale Attention-Enhanced Complex-Valued Graph U-Net for PolSAR Image Classification
The powerful graph convolutional network (GCN) for polarimetric synthetic aperture radar (PolSAR) image classification generally relies on real-valued features, ignoring the phase information and thus limiting the modeling of complex-valued (CV ...
Yan Wu +4 more
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Heterogeneous Network-Based Contrastive Learning Method for PolSAR Land Cover Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) image interpretation is widely used in various fields. Recently, deep learning has made significant progress in PolSAR image classification. Supervised learning (SL) requires a large amount of labeled PolSAR
Jianfeng Cai +4 more
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Riemannian Complex Matrix Convolution Network for PolSAR Image Classification
, 2023 Recently, deep learning methods have achieved superior performance for Polarimetric Synthetic Aperture Radar(PolSAR) image classification. Existing deep learning methods learn PolSAR data by converting the covariance matrix into a feature vector or ...
Wang, Wei +4 more
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Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information. [PDF]
Int J Environ Res Public Health, 2022 Chen Y, Wang Z.
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Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. [PDF]
Sensors (Basel), 2022 Liu X +4 more
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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.
Lizhen Cui +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHigh-quality labeled samples of polarimetric synthetic aperture radar (PolSAR) images are relatively scarce. Therefore, achieving optimal classification performance with limited labeled samples has become a significant challenge in PolSAR image ...
Nana Jiang +4 more
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Supervised PolSAR Image Classification with Multiple Features and Locally Linear Embedding. [PDF]
Sensors (Basel), 2018 Zhang Q, Wei X, Xiang D, Sun M.
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