Results 1 to 10 of about 2,377 (186)
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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Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer [PDF]
Remote SensingLimited labels and detailed changed land-cover interpretation requirements pose challenges for time-series PolSAR change monitoring research. Accurate labels and supervised models are difficult to reuse between massive unlabeled time-series PolSAR data due to the complex distribution shifts caused by different imaging parameters, scene changes, and ...
Xinyue Zhang +5 more
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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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Identifying Successive Eruption of Guntur Volcanic Complex Using Magnetic Susceptibility and Polarimetric Synthetic Aperture Radar (PolSAR) Data [PDF]
IOP Conference Series: Earth and Environmental Science, 2017 Asep Saepuloh, Erwin Bakker
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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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, 2015 The ecosystem of the high northern latitudes is affected by the recently changing environmental conditions. The Arctic has undergone a significant climatic change over the last decades. The land coverage is changing and a phenological response to the warming is apparent. Remotely sensed data can assist the monitoring and quantification of these changes.
Tobias Ullmann
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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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