Quality issues for hyperspectral data dissemination: radiometric and spectral distortions in lossy compression

Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Franco Lotti; Leonardo Santurri; Massimo Selva

doi:10.1117/12.462911

8 April 2003 Quality issues for hyperspectral data dissemination: radiometric and spectral distortions in lossy compression

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Franco Lotti, Leonardo Santurri, Massimo Selva

Author Affiliations +

Proceedings Volume 4881, Sensors, Systems, and Next-Generation Satellites VI; (2003) https://doi.org/10.1117/12.462911
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

Goal of this work is to investigate and compare different compression methodologies from the viewpoint of spectral distortion introduced in hyperspectral pixel vectors. The main result of this analysis is that, for a given compression ratio, near-lossless methods, i.e., with constrained pixel error, either absolute or relative, are more suitable for preserving the spectral discrimination capability among pixel vectors, which is the principal outcome of spectral information. Therefore, whenever a lossless compression is not practicable, the use of near-lossless compression is recommended in such application where spectral quality is a crucial point.

Citation Download Citation

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Franco Lotti, Leonardo Santurri, and Massimo Selva "Quality issues for hyperspectral data dissemination: radiometric and spectral distortions in lossy compression", Proc. SPIE 4881, Sensors, Systems, and Next-Generation Satellites VI, (8 April 2003); https://doi.org/10.1117/12.462911

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