高光谱图像压缩研究进展

2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) Pub Date : 2014-07-10 DOI:10.1109/ICCICCT.2014.6993136

Sanjith S, Ganesan R

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引用次数: 12

摘要

小卫星通信技术的发展，对数据传输和存储的需求迅速增加。计算机技术和数字数据处理技术的进步提高了数据传输和存储的效率。近年来，高光谱图像压缩受到了广泛的关注，在这一领域进行了大量的研究，并在压缩比方面取得了积极的成果。本文就高光谱图像压缩技术在卫星机载压缩中的应用进行了研究。本研究主要集中在有损、无损和接近无损的压缩方法和用于执行压缩的方法。涵盖的主题包括分布式源编码(DSC)、睡狼理论、M-CALIC、LAIS-LUT、FIVQ、DCT、JPEG2000多维点阵矢量量化。作为最后一点的优点和缺点进行了讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A review on hyperspectral image compression

The growth of small satellite communication technologies, demands for data transmission and storage is rapidly increased. The advancements in computer technology and digital data processing techniques improves the efficiency of transmission and storage of data. Recently hyperspectral image compression has got considerable attention and so many researches had been made in this field and got positive results in compression ratio. In this paper we have made a state-of-the-art investigation about hyperspectral image compression which can be used in satellites onboard compression. Mainly this investigation is focused on lossy, lossless and near lossless compression methods and methodologies used to perform the compression. Topics covered includes Distributed Source Coding (DSC), Slepian-Wolf theory, M-CALIC, LAIS-LUT, FIVQ, DCT, JPEG2000 Multidimensional lattice vector quantization. As a final point the merits and demerits are discussed.

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2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

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