NDLI: SAR image compression

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Volume 1 - 1996

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SAR image compression

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SAR image compression

Content Provider	IEEE Xplore Digital Library
Author	Sakarya, F.A. Emek, S.
Copyright Year	1996
Description	Author affiliation: Dept. of Electron. & Comm. Eng., Yildiz Univ., Istanbul, Turkey (Sakarya, F.A.)
Abstract	Classical image compression algorithms such as discrete cosine transform (DCT), Karhunen-Loeve transform (KLT), and subband decomposition using wavelet filters (SDWF) are well-understood for optical imaging. However, their applications to synthetic aperture radar (SAR) images have not been well-studied. This paper applies DCT, KLT and SDWF to raw SAR images after appropriate preprocessing, and compares the results based on three performance criteria, namely energy gain (E/sub C/), transform coding gain (G/sub T/), and peak-to-peak signal-to-noise ratio (PSNR).
Starting Page	858
Ending Page	862
File Size	593077
Page Count	5
File Format	PDF
ISBN	0818676469
ISSN	10586393
DOI	10.1109/ACSSC.1996.599066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Discrete cosine transforms Karhunen-Loeve transforms Performance gain Discrete wavelet transforms Optical filters Optical imaging Synthetic aperture radar Transform coding Signal to noise ratio
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Signal Processing

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