Recent progress in ultraspectral sounder data compression

Bormin Huang; Alok Ahuja; Hung-Lung Huang; Timothy J. Schmit; Roger W. Heymann

doi:10.1117/12.605357

1 June 2005 Recent progress in ultraspectral sounder data compression

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy J. Schmit, Roger W. Heymann

Proceedings Volume 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; (2005) https://doi.org/10.1117/12.605357
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Improvements in weather and climate observation, analysis, and prediction will be achieved through advances of contemporary and future ultraspectral infrared sounders such as Atmospheric Infrared Sounder (AIRS), Tropospheric Emission Spectrometer (TES), Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS), and Hyperspectral Environmental Suite (HES). Given their unprecedented 3D data sizes to be generated each day, the use of robust data compression techniques will be beneficial to data transfer and archive. Lossless or near-lossless compression of this ultraspectral sounder data is desired to avoid potentially significant degradation of the geophysical parameter retrieval in an associated ill-posed inverse problem. In this paper we investigate various 2D and 3D compression techniques applicable to ultraspectral sounder data. These techniques include transform-based (JPEG2000, 3D-SPIHT), prediction-based (JPEG-LS, CALIC), and clustering-based (PVQ, DPVQ, PPVQ) compression methods. Data preprocessing schemes for compression gains are also illustrated.

Citation Download Citation

Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy J. Schmit, and Roger W. Heymann "Recent progress in ultraspectral sounder data compression", Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); https://doi.org/10.1117/12.605357

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