Title :
An evaluation of SAR image compression techniques
Author :
Sakarya, F.A. ; Wei, Dong ; Emek, Serkan
Author_Institution :
Dept. of Electron. & Commun. Eng., Yildiz Tech. Univ., Istanbul, Turkey
Abstract :
Transform coding based on 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
Keywords :
coding errors; data compression; discrete cosine transforms; error analysis; error statistics; image coding; least squares approximations; radar applications; radar imaging; synthetic aperture radar; transform coding; transforms; wavelet transforms; DCT coder; DWT coder; KLT coder; Karhunen-Loeve transform; SAR image compression; compression ratio; discrete cosine transform; discrete wavelet transform; energy compaction; mean absolute error; mean-squared error; peak signal to noise ratio; synthetic aperture radar; transform coding; transform gain; Adaptive optics; Compaction; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Karhunen-Loeve transforms; PSNR; Performance gain; Synthetic aperture radar; Transform coding;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595379
