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Proceedings Paper

A novel technique for adaptive anomalous change detection in airborne hyperspectral imagery
Author(s): Marco Diani; Salvatore Resta; Nicola Acito; Giovanni Corsini; Sergio Ugo de Ceglie
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Paper Abstract

A novel technique for anomalous change detection in hyperspectral images is presented. It adaptively measures the spectral distance between corresponding pixels in multi-temporal images by exploiting the local estimates of the signal to noise ratio for each spectral component of the pixel under test. Different metrics have been compared, based on multidimensional angular distance. Results obtained by applying the new algorithm to real data are presented and discussed. Performance evaluation highlighted the effectiveness of the proposed approach with respect to traditional methods, resulting in a consistent improvement of both the probability of detection of changes and the capability of suppressing the background.

Paper Details

Date Published: 19 November 2012
PDF: 8 pages
Proc. SPIE 8542, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI, 854220 (19 November 2012); doi: 10.1117/12.974628
Show Author Affiliations
Marco Diani, Univ. di Pisa (Italy)
Salvatore Resta, Univ. di Pisa (Italy)
Nicola Acito, Accademia Navale di Livorno (Italy)
Giovanni Corsini, Univ. di Pisa (Italy)
Sergio Ugo de Ceglie, Ctr. Interforze Studi per le Applicazioni Militari (Italy)

Published in SPIE Proceedings Vol. 8542:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI
Gary W. Kamerman; Gary J. Bishop; Mark T. Gruneisen; Keith L. Lewis; Miloslav Dusek; Richard C. Hollins; Ove Steinvall; John Gonglewski; John G. Rarity; Thomas J. Merlet, Editor(s)

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