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Multiplierless Reversible Integer TDLT/KLT for Lossy-to-Lossless Hyperspectral Image Compression

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Abstract

Hyperspectral images have wide applications nowadays such as in atmospheric detection, remote sensing and military affairs. However, the volume of a hyperspectral image is so large that a 16bit AVIRIS image with a size 512 × 512 × 224 will occupy 112 M bytes. Therefore, efficient compression algorithms are required to reduce the cost of storage or bandwidth.

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Authors and Affiliations

  1. School of Electronic Engineering, Xidian University, xi’an, China

    Jiaji Wu, Lei Wang & L. C. Jiao

  2. College of Information Engineering, Northwest A&F University, yangling, China

    Yong Fang

Authors
  1. Jiaji Wu
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  2. Lei Wang
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  3. Yong Fang
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  4. L. C. Jiao
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Correspondence to Jiaji Wu .

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  1. , Space Science and Engineering Center, University of Wisconsin - Madison, Madison, 53706, Wisconsin, USA

    Bormin Huang

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Wu, J., Wang, L., Fang, Y., Jiao, L.C. (2012). Multiplierless Reversible Integer TDLT/KLT for Lossy-to-Lossless Hyperspectral Image Compression. In: Huang, B. (eds) Satellite Data Compression. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1183-3_9

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  • DOI: https://doi.org/10.1007/978-1-4614-1183-3_9

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