New remote-sensing data compression technique using wavelet decomposition and related procedures

Chi Hau Chen; Tzu-Hung Cheng

doi:10.1117/12.331880

4 December 1998 New remote-sensing data compression technique using wavelet decomposition and related procedures

Chi Hau Chen, Tzu-Hung Cheng

Proceedings Volume 3500, Image and Signal Processing for Remote Sensing IV; (1998) https://doi.org/10.1117/12.331880
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

Many image compression techniques have been developed for remote sensing imagery over the last thirty years. What are considered as standard techniques such as the use of principal component analysis, discrete cosine transform, predictive coding, etc. have shown their limitations. Wavelet transform techniques have been increasingly used in recent years. In this paper a new and efficient technique is presented that provides a nearly lossless compression of the multichannel remote sensing imagery by combining the use of wavelet decomposition, non-uniform quantization, arithmetic coding, and geometric vector quantizer (GVQ) to achieve the compression task with very minimal loss. The detailed procedures will be illustrated with real remote sensing images.

Citation Download Citation

Chi Hau Chen and Tzu-Hung Cheng "New remote-sensing data compression technique using wavelet decomposition and related procedures", Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); https://doi.org/10.1117/12.331880

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