Results 1 to 10 of about 621 (141)
Polarimetric Synthetic Aperture Radar Speckle Filter Based on Joint Similarity Measurement Criterion
Remote Sensing, 2023 Polarimetric Synthetic Aperture Radar (PolSAR) data is inherently characterized by speckle noise, which significantly deteriorates certain aspects of the quality of the PolSAR data processing, including the polarimetric decomposition and target ...
Fanyi Tang +6 more
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PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) can acquire full-polarization information, which is the solid foundation for target scattering mechanism interpretation and utilization. Meanwhile, PolSAR image resolution is usually lower than the synthetic
Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen
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PolSAR image classification using shallow to deep feature fusion network with complex valued attention [PDF]
Scientific ReportsPolarimetric Synthetic Aperture Radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products.
Mohammed Q. Alkhatib +4 more
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Polarimetric Contextual Classification of PolSAR Images Using Sparse Representation and Superpixels
Remote Sensing, 2014 In recent years, sparse representation-based techniques have shown great potential for pattern recognition problems. In this paper, the problem of polarimetric synthetic aperture radar (PolSAR) image classification is investigated using sparse ...
Jilan Feng, Zongjie Cao, Yiming Pi
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Classifying UAVSAR Polarimetric Synthetic Aperture Radar (PolSAR) Imagery Using Target Decomposition Features [PDF]
The 2nd International Electronic Conference on Remote Sensing, 2018 Changes in the earth's surface significantly increase natural disasters, resulting in severe damage to man-made objects, such as roads, buildings, bridges, and so on. Radar techniques have advantages, such as lack of sensitivity to weather conditions, to night and day, and to cloud cover conditions, which can be used to identify, alert, and mitigate ...
Ghazaleh Alijani +2 more
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IET Radar, Sonar & Navigation, 2022 In this paper, the terrain effect on parameter inversion performance of polarimetric synthetic aperture radar (PolSAR) and polarimetric SAR interferometry (PolInSAR) are analysed first.
Suo Zhiyong +3 more
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A PolSAR despeckling method based on Wishart gradient and anisotropic diffusion
Electronics Letters, 2021 The anisotropic diffusion filtering is a classical tool in image processing due to its simplicity and effectiveness. In this letter, we propose a new diffusion‐like filter based on the polarimetric synthetic aperture radar (PolSAR) ratio gradients.
Hongmiao Wang +4 more
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Despeckling Multitemporal Polarimetric SAR Data Based on Tensor Decomposition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Despeckling is an essential task in polarimetric synthetic aperture radar (PolSAR) image processing. Most of the existing filters developed for multitemporal synthetic aperture radar (SAR) images make use of either real or complex information.
Jiayin Luo +6 more
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SEGMENTATION OF POLARIMETRIC SAR IMAGES USIG WAVELET TRANSFORMATION AND TEXTURE FEATURES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Polarimetric Synthetic Aperture Radar (PolSAR) sensors can collect useful observations from earth’s surfaces and phenomena for various remote sensing applications, such as land cover mapping, change and target detection.
A. Rezaeian, S. Homayouni, A. Safari
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IET Radar, Sonar & Navigation, 2022 A polarimetric synthetic aperture radar (POLSAR) system provides an image that can be considered as a data cube containing spatial information in two spatial dimensions and polarimetric information in the scattering dimension.
Maryam Imani
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