Paper Info
Title
Data compression in ViSAR sensor networks using non-linear adaptive weighting
Abstract
Nowadays, industrial video synthetic aperture radars (ViSARs) are widely used for aerial remote sensing and surveillance systems in smart cities. A main challenge of a group of networked ViSAR sensors in an IoT-based environment is low bandwidth of wireless links for communicating big video data. In this research, we propose a non-linear statistical estimator for adaptive reconstruction of compressed ViSAR data. Our proposed reconstruction filter is based on an adaptively generated non-linear weight mask of spatial observations. It can strongly outperform several conventional and well-known reconstruction filters for three different video samples.
Year
DOI
Venue
2019
10.1186/s13638-019-1577-z
EURASIP Journal on Wireless Communications and Networking
Keywords
DocType
Volume
Video synthetic aperture radar (ViSAR), Non-linear reconstruction filter, Adaptive weighting, Data compression, Interpolation, Internet of Things (IoT)
Journal
2019
Issue
ISSN
Citations 
1
1687-1499
1
PageRank 
References 
Authors
0.37
0
2
Name
Order
Citations
PageRank
Mohammad R. Khosravi1267.55
Sadegh Samadi2224.57