22 March 1996 Adaptive wavelet coding of hyperspectral imagery
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Proceedings Volume 2762, Wavelet Applications III; (1996); doi: 10.1117/12.236026
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States
Abstract
A system is presented for compression of hyperspectral imagery. Specifically, DPCM is used for spectral decorrelation, while an adaptive 2-D discrete wavelet coding scheme is used for spatial decorrelation. Trellis coded quantization is used to encode the wavelet coefficients. Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This entropy constrained system achieves a compression ratio of greater than 70:1 with an average PSNR of the coded hyperspectral sequence exceeding 41 dB.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Glen P. Abousleman, "Adaptive wavelet coding of hyperspectral imagery", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236026; https://doi.org/10.1117/12.236026
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KEYWORDS
Wavelets

Image compression

Computer programming

Hyperspectral imaging

Quantization

Discrete wavelet transforms

Linear filtering

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