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.
Quality issues for hyperspectral data dissemination: Radiometric and spectral distortions in lossy compression / Aiazzi, Bruno; Alparone, Luciano; Baronti, Stefano; Lotti, Franco; Santurri, Leonardo; Selva, Massimo. - STAMPA. - 4881:(2002), pp. 701-708. (Intervento presentato al convegno Sensors, Systems, and Next-Generation Satellites VI tenutosi a Agia Pelagia, Crete, grc nel 23 - 26 September 2002) [10.1117/12.462911].
Quality issues for hyperspectral data dissemination: Radiometric and spectral distortions in lossy compression
ALPARONE, LUCIANO;
2002
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.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.