PolSAR Ship Detection Based on a SIFT-like PolSAR Keypoint Detector
Remote Sensing, 2022 The detection of ships on the open sea is an important issue for both military and civilian fields. As an active microwave imaging sensor, synthetic aperture radar (SAR) is a useful device in marine supervision.
Mingfei Gu, Yinghua Wang, Hongwei Liu
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AIR-PolSAR-Seg: A Large-Scale Data Set for Terrain Segmentation in Complex-Scene PolSAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Polarimetric synthetic aperture radar (PolSAR) terrain segmentation is a fundamental research topic in PolSAR image interpretation. Recently, many studies have been investigated to handle this task.
Jian Kang, Xian Sun, Zhiyuan Yan
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PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground Biomass Estimation
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) remote sensing has been widely used for forest mapping and monitoring. PolSAR data has the capability to provide scattering information that is contributed by different scatterers within a single SAR ...
Shashi Kumar +2 more
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MASA-SegNet: A Semantic Segmentation Network for PolSAR Images
Remote Sensing, 2023 Semantic segmentation of Polarimetric SAR (PolSAR) images is an important research topic in remote sensing. Many deep neural network-based semantic segmentation methods have been applied to PolSAR image segmentation tasks.
Jing Wu, Xuesong Gao, Mantao Wang
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A Novel Deep Fully Convolutional Network for PolSAR Image Classification
Remote Sensing, 2018 Polarimetric synthetic aperture radar (PolSAR) image classification has become more and more popular in recent years. As we all know, PolSAR image classification is actually a dense prediction problem.
Yanqiao Chen, Shichuan Chen, Yangyang Li
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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 ...
Hao Dong, Rong Gui, Xin Xu
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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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A Novel Change Detection Method Based on Statistical Distribution Characteristics Using Multi-Temporal PolSAR Data [PDF]
Sensors, 2020 Unsupervised change detection approaches, which are relatively straightforward and easy to implement and interpret, and which require no human intervention, are widely used in change detection. Polarimetric synthetic aperture radar (PolSAR), which has an
Jinqi Zhao +5 more
doaj +2 more sources
PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification plays an important role in various PolSAR image application. And many pixel-wise, region-based classification methods have been proposed for PolSAR images.
Xichuan Zhou, Xinzheng Zhang
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GPU-Based Soil Parameter Parallel Inversion for PolSAR Data
Remote Sensing, 2020 With the development of polarimetric synthetic aperture radar (PolSAR), quantitative parameter inversion has been seen great progress, especially in the field of soil parameter inversion, which has achieved good results for applications.
Qiang Yin +3 more
doaj +1 more source