Video sar - Open Access .click

IEEE Geoscience and Remote Sensing Letters, 2021
Video synthetic aperture radar (Video SAR) has sparked lots of research attention since it provides the ability of continuously observing and tracking the object of interest. Instead of tracking a target directly, in Video SAR, it is preferred to track its shadow due to the target’s instable backscattering characteristic and defocused patterns. However,
Linbo Tang, Yuqi Han, Xun Liu
exaly +3 more sources

Video SAR Imaging Based on Low-Rank Tensor Recovery

IEEE Transactions on Neural Networks and Learning Systems, 2021
Due to its ability of forming continuous images for a ground scene of interest, the video synthetic aperture radar (SAR) has been studied in recent years. However, as video SAR needs to reconstruct many frames, the data are of enormous amount and the imaging process is of large computational cost, which limits its applications.
Jianyu Yang, Junjie Wu, Yulin Huang
exaly +4 more sources

Video SAR Image Despeckling by Unsupervised Learning

IEEE Transactions on Geoscience and Remote Sensing, 2021
It has long been recognized that synthetic aperture radar (SAR) images suffer in many applications from the speckle noise. Video SAR has a high frame rate of imaging and contains redundant information among frames. The temporal redundancy in video SAR images has been found useful for suppressing the speckle noise.
Zhong Xu, Jinshan Ding, Xuejun Huang
exaly +2 more sources

shadow detection
video synthetic aperture radar sar
deep learning

moving target detection
radar imaging
video synthetic aperture radar visar

moving target
synthetic aperture radar
video synthetic aperture radar