Yayın: An evaluation of SAR image compression techniques
| dc.contributor.author | Sakarya, FA | |
| dc.contributor.author | Wei, D | |
| dc.contributor.author | Emek, S | |
| dc.date.accessioned | 2026-06-27T12:57:06Z | |
| dc.date.issued | 1997 | |
| dc.description.abstract | Transform 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.endpage | 2836 | |
| dc.identifier.isbn | 0-8186-7920-4 | |
| dc.identifier.startpage | 2833 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14981/48079 | |
| dc.identifier.wos | A1997BH95E00710 | |
| dc.language.iso | eng | |
| dc.publisher | I E E E, COMPUTER SOC PRESS | |
| dc.relation.conference | 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97) | |
| dc.relation.ispartof | 1997 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.subject | Acoustics | |
| dc.subject | Engineering | |
| dc.title | An evaluation of SAR image compression techniques | |
| dc.type | Proceedings Paper | |
| dspace.entity.type | Publication | |
| local.import.source | WOS |