Low bit rate SAR image coding based on adaptive multiscale Bandelets and cooperative decision

Author:

Yang Shuyuan,Lu Yanxiong,Wang Min,Jiao Licheng

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference32 articles.

1. Synthetic Aperture Radar, Systems and Signal Processing;Curlander,1991

2. Compression of SAR raw data through range focusing and variable-rate trellis-coded quantization;D’Elia;IEEE Trans. Image Process.,2001

3. On the compression of raw data and images from synthetic aperture radar (SAR);de Beaucoudrey;Ann. Telecommun.,2001

4. Compression of SAR raw data using the method of BABC;Schaefer;Frequenz,2001

5. M. Zhou, Y. Deng, Z. Zhang, A new algorithm for SAR raw data compression by using wavelet packets, in: The Eighth International Conference on Signal Processing, vol. 4, 2006, pp. 16–20.

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1. Advanced Wavelet Transform for Image Processing—A Survey;Lecture Notes in Networks and Systems;2019-10-16

2. Synthetic aperture radar image compression based on multi-scale geometric transforms;International Journal of Intelligent Engineering Informatics;2017

3. Improved Bandelet with heuristic evolutionary optimization for image compression;Engineering Applications of Artificial Intelligence;2014-05

4. Quantum-inspired immune clone algorithm and multiscale Bandelet based image representation;Pattern Recognition Letters;2010-10

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