NDLI: SAR RAW data processing approach based on a combination of LBG algorithm and compressed sensing

Content Provider	IEEE Xplore Digital Library
Author	Qun Zhang Feng Zhu Donghu Deng Fufei Gu Kaiming Li
Copyright Year	2012
Description	Author affiliation: Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China (Qun Zhang; Feng Zhu; Donghu Deng; Fufei Gu; Kaiming Li)
Abstract	Aimed at the problem of how to diminish SAR raw data apparently and realize SAR imaging effectively, a new approach for processing SAR raw data combined with Linde-Buzo-Gray (LBG) algorithm and Compressed Sensing (CS) is proposed in this paper. For SAR returned signals, CS is engaged to reduce the sampling number in the pulse duration, and LBG algorithm as a classical vector quantization (VQ) method, is employed to diminish encode number of every sample value. Next, data reconstruction process still contains the two ordinal steps according to LBG algorithm and CS theory, respectively. On the basis of that, the traditional SAR imaging method, Frequency Scaling (FS) algorithm, is carried out to achieve the final SAR image. Simulation results show that the high quality SAR image can be achieved on condition of the SAR raw data is diminished furthermore obviously, which is compared with the traditional method.
Starting Page	7424
Ending Page	7427
File Size	154950
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6351945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Vectors Image reconstruction Image coding Compressed sensing Training Algorithm design and analysis compressing rate SAR raw data LBG algorithm Compressed Sensing Frequency Scaling algorithm
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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