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Journal of Applied Remote Sensing • Open Access

Information-theoretic assessment of on-board near-lossless compression of hyperspectral data
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Leonardo Santurri; Massimo Selva

Paper Abstract

A rate-distortion model to measure the impact of near-lossless compression of raw data, that is, compression with user-defined maximum absolute error, on the information available once the compressed data have been received and decompressed is proposed. Such a model requires the original uncompressed raw data and their measured noise variances. Advanced near-lossless methods are exploited only to measure the entropy of the datasets but are not required for on-board compression. In substance, the acquired raw data are regarded as a noisy realization of a noise-free spectral information source. The useful spectral information at the decoder is the mutual information between the unknown ideal source and the decoded source, which is affected by both instrument noise and compression-induced distortion. Experiments on simulated noisy images, in which the noise-free source and the noise realization are exactly known, show the trend of spectral information versus compression distortion, which in turn is related to the coded bit rate or equivalently to the compression ratio through the rate-distortion characteristic of the encoder used on satellite. Preliminary experiments on airborne visible infrared imaging spectrometer (AVIRIS) 2006 Yellowstone sequences match the trends of the simulations. The main conclusion that can be drawn is that the noisier the dataset, the lower the CR that can be tolerated, in order to save a prefixed amount of spectral information.

Paper Details

Date Published: 25 July 2013
PDF: 12 pages
J. Appl. Remote Sens. 7(1) 074597 doi: 10.1117/1.JRS.7.074597
Published in: Journal of Applied Remote Sensing Volume 7, Issue 1
Show Author Affiliations
Bruno Aiazzi, Istituto di Fisica Applicata Nello Carrara (Italy)
Luciano Alparone, Univ. degli Studi di Firenze (Italy)
Stefano Baronti, Istituto di Fisica Applicata Nello Carrara (Italy)
Leonardo Santurri, Istituto di Fisica Applicata Nello Carrara (Italy)
Massimo Selva, Istituto di Fisica Applicata Nello Carrara (Italy)


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