DocumentCode
2196598
Title
Application of compressed sensing in spaceborne radar imaging
Author
Sun, Wenfeng ; Shang, She
Author_Institution
Sci. & Technol. on Space Microwave Lab., Xi´´an, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
4184
Lastpage
4186
Abstract
High resolution spaceborne SAR to obtain a wide range of application in recent years, but the real-time imaging algorithm encountered a huge computation challenge. CS(compressed sensing) theory is a novel data collection and coding theory under the condition that signal is sparse or compressible. This paper discusses the CS technology will be introduced to the spaceborne radar imaging algorithm, so the radar can obtain the raw echo data at low sampling, and then down to the ground, the use of CS imaging method to complete the real-time image processing.
Keywords
data compression; image sampling; radar imaging; radar resolution; spaceborne radar; synthetic aperture radar; CS technology; CS theory; coding theory; compressed sensing; compressible signal; data collection; high-resolution spaceborne SAR; real-time image processing; spaceborne radar imaging algorithm; sparse signal; Compressed sensing; Imaging; Radar imaging; Spaceborne radar; Synthetic aperture radar; Vectors; compressed sensing; high resolution; spaceborne SAR;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6067767
Filename
6067767
Link To Document