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Proceedings Paper

Quality issues for hyperspectral data dissemination: radiometric and spectral distortions in lossy compression
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Franco Lotti; Leonardo Santurri; Massimo Selva
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Paper 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.

Paper Details

Date Published: 8 April 2003
PDF: 8 pages
Proc. SPIE 4881, Sensors, Systems, and Next-Generation Satellites VI, (8 April 2003); doi: 10.1117/12.462911
Show Author Affiliations
Bruno Aiazzi, Istituto di Fisica Applicata Nello Carrara-CNR (Italy)
Luciano Alparone, Univ. of Florence (Italy)
Stefano Baronti, Istituto di Fisica Applicata Nello Carrara-CNR (Italy)
Franco Lotti, Istituto di Fisica Applicata Nello Carrara-CNR (Italy)
Leonardo Santurri, Istituto di Fisica Applicata Nello Carrara-CNR (Italy)
Massimo Selva, Istituto di Fisica Applicata Nello Carrara-CNR (Italy)


Published in SPIE Proceedings Vol. 4881:
Sensors, Systems, and Next-Generation Satellites VI
Hiroyuki Fujisada; Joan B. Lurie; Michelle L. Aten; Konradin Weber; Joan B. Lurie; Michelle L. Aten; Konradin Weber, Editor(s)

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