NDLI: Wavelet/trellis coded quantization of complex SAR imagery

Content Provider	IEEE Xplore Digital Library
Author	Heermans, J.M. Rouse, R. Chung-Fu Chang Bonneau, R.
Copyright Year	2000
Description	Author affiliation: Lockheed Martin Manage. & Data Syst. - Reconnaissance Syst., Goodyear, AZ, USA (Heermans, J.M.)
Abstract	This paper describes Lockheed Martin's wavelet/trellis coded quantization (W/TCQ) compression algorithm and presents results of quantitative assessment of the impact of data compression on complex SAR data. Compression performance was evaluated both quantitatively using statistical measurements and qualitatively by image analysts. Trade studies of various compression schemes and data formats were also investigated. Data distortion due to compression/decompression was assessed using statistical metrics. Quantitative assessments were performed with error analyses and a simple decision function to address how data compression affects automatic target recognition performance. The magnitude and phase channels can be allocated different compression ratios to maintain both high quality image interpretability and necessary phase fidelity.
Starting Page	121
Ending Page	128
File Size	974298
Page Count	8
File Format	PDF
ISBN	0769509789
DOI	10.1109/AIPRW.2000.953613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Image coding Data compression Synthetic aperture radar Pixel Phase distortion Signal to noise ratio Phase noise Radar imaging Image analysis
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
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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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