Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning [PDF]
PeerJ, 2022 Polarimetric SAR (PolSAR) image segmentation is a key step in its interpretation. For the targets with time series changes, the single-temporal PolSAR image segmentation algorithm is difficult to provide correct segmentation results for its target ...
Caiqiong Wang +4 more
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Multi-Pixel Simultaneous Classification of PolSAR Image Using Convolutional Neural Networks [PDF]
Sensors, 2018 Convolutional neural networks (CNN) have achieved great success in the optical image processing field. Because of the excellent performance of CNN, more and more methods based on CNN are applied to polarimetric synthetic aperture radar (PolSAR) image ...
Lei Wang +4 more
doaj +2 more sources
Despeckling PolSAR Images with a Structure Tensor Filter [PDF]
IEEE Geoscience and Remote Sensing Letters, 2020 © 2004-2012 IEEE. In this letter, we propose a new despeckling filter for fully polarimetric synthetic aperture radar (PolSAR) images defined by 3× 3 complex Wishart distributions. We first generalize the well-known structure tensor to deal with PolSAR data which allows to efficiently measure the dominant direction and contrast of edges.
Daniel Santana-Cedres +3 more
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Adversarial Reconstruction-Classification Networks for PolSAR Image Classification [PDF]
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification has become more and more widely used in recent years. It is well known that PolSAR image classification is a dense prediction problem. The recently proposed fully convolutional networks (
Yanqiao Chen +5 more
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Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence [PDF]
Scientific Reports, 2022 Polarimetric synthetic aperture radar (PolSAR) image classification is a hot topic in remote sensing field. Although recently many deep learning methods such as convolutional based networks have provided great success in PolSAR image classification, but ...
Maryam Imani
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Structure Label Matrix Completion for PolSAR Image Classification [PDF]
Remote Sensing, 2020 Terrain classification is a hot topic in polarimetric synthetic aperture radar (PolSAR) image interpretation that aims at assigning a label to every pixel and forms a label matrix for a PolSAR image.
Qian Wu +5 more
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CV-CPKAN: Complex-Valued Convolutional Kolmogorov–Arnold Framework for PolSAR Image Classification
Remote SensingDeep learning has significantly advanced PolSAR image processing, with a growing trend of integrating mathematical theories into deep neural networks to enhance their capabilities with regard to complex data.
Zuzheng Kuang +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.
europepmc +3 more sources
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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High-resolution PolSAR image level set segmentation [PDF]
Journal of Image and Graphics, 2014 Pengfei Zou, Zhen Li, Bangsen Tian
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