n this paper we focus on the compression of three-dimensional hyperspectral data, and review the state-of-the-art low-complexity Spectral-oriented Least SQuares (SLSQ) algorithm, which is suitable for on board implementations on airplanes or satellites. Two approaches for improving the compres- sion performances of SLSQ are considered: band ordering and band clustering. We experimentally test the performances of SLSQ on a test data set of five NASA AVIRIS hyperspectral images and the results obtained confirm the efficiency of the algorithm

On the Compression of Hyperspectral Data

PIZZOLANTE, RAFFAELE;CARPENTIERI, Bruno
2013

Abstract

n this paper we focus on the compression of three-dimensional hyperspectral data, and review the state-of-the-art low-complexity Spectral-oriented Least SQuares (SLSQ) algorithm, which is suitable for on board implementations on airplanes or satellites. Two approaches for improving the compres- sion performances of SLSQ are considered: band ordering and band clustering. We experimentally test the performances of SLSQ on a test data set of five NASA AVIRIS hyperspectral images and the results obtained confirm the efficiency of the algorithm
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4584457
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