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Proceedings Paper

A modified band add-on spectral angle mapper (BAO-SAM) distance metrics: a new tool to evaluate lossy compression of hyperspectral imagery
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Cinzia Lastri
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Paper Abstract

Though widely used for spectral discrimination of materials, the spectral angle mapper (SAM) metrics exhibits some limitations, due to its lack of monotonicity as the number of components, i.e., spectral bands, increases. This paper proposes an outcome of the band add-on (BAO) decomposition of SAM, known as as BAO-SAM, for assessing compressed hyperspectral data. Since the material discrimination capability of BAO-SAM is superior to that of SAM, the underlying idea is that if the BAO-SAM between compressed and uncompressed data is kept low, the discrimination capability of compressed data will be favored. Experimental results on AVIRIS data show that BAO-SAM is capable of characterizing the spectral distortion better than SAM does. Furthermore, the possibility of developing a BAO-SAM bounded compression method is investigated. Such a method is likely to be useful for a variety of applications concerning hyperspectral image analysis.

Paper Details

Date Published: 29 September 2006
PDF: 8 pages
Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 63650K (29 September 2006); doi: 10.1117/12.690781
Show Author Affiliations
Bruno Aiazzi, Institute of Applied Physics, Nello Carrara (Italy)
Luciano Alparone, Univ. of Florence (Italy)
Stefano Baronti, Institute of Applied Physics, Nello Carrara (Italy)
Cinzia Lastri, Institute of Applied Physics, Nello Carrara (Italy)


Published in SPIE Proceedings Vol. 6365:
Image and Signal Processing for Remote Sensing XII
Lorenzo Bruzzone, Editor(s)

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