Paper Info
Title
SPB-Net: A Deep Network for SAR Imaging and Despeckling With Downsampled Data
Abstract
Synthetic aperture radar (SAR) typically faces both large-scale data and speckle noise problems, which, respectively, induce enormous strains on transmission and storage and interfere with the analysis and interpretation of SAR images. To tackle these, we present a real-time processing deep network, called SPB-Net, to implement imaging and speckle suppression simultaneously. First, a novel imaging...
Year
DOI
Venue
2021
10.1109/TGRS.2020.3034102
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Imaging,Speckle,Radar polarimetry,Synthetic aperture radar,Radar imaging,Real-time systems,Computational modeling
Journal
59
Issue
ISSN
Citations 
11
0196-2892
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Kai Xiong16511.22
Guanghui Zhao200.68
Yingbin Wang302.03
Guangming Shi42663184.81