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An evaluation of SAR image compression techniques

dc.contributor.authorSakarya, FA
dc.contributor.authorWei, D
dc.contributor.authorEmek, S
dc.date.accessioned2026-06-27T12:57:06Z
dc.date.issued1997
dc.description.abstractTransform coding based an the Karhunen-Loeve Transform (KLT), the Discrete Cosine Transform (DCT), and the Discrete Wavelet Transform (DWT) is well-understood for optical images. Transform coding applied to synthetic aperture radar (SAR) data, however, has not been well-studied. This paper compares the results of compressing SAR images using KLT, DCT, and DWT coders. We compare the compression results based on six performance criteria- mean-squared error, mean absolute error, peak signal-to-noise ratio, energy compaction, transform gain, and compression ratio.en
dc.identifier.endpage2836
dc.identifier.isbn0-8186-7920-4
dc.identifier.startpage2833
dc.identifier.urihttps://hdl.handle.net/20.500.14981/48079
dc.identifier.wosA1997BH95E00710
dc.language.isoeng
dc.publisherI E E E, COMPUTER SOC PRESS
dc.relation.conference1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97)
dc.relation.ispartof1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS
dc.subjectAcoustics
dc.subjectEngineering
dc.titleAn evaluation of SAR image compression techniques
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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