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Proceedings Paper

Improving change-detection accuracy by exploiting multispectral information
Author(s): Lorenzo Bruzzone; Fabio Roli; Sebastiano Bruno Serpico
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Paper Abstract

In this paper an algorithm to detect changes in multispectral and multitemporal remote-sensing images is presented. Such an algorithm makes it possible to reduce the effects of 'registration noise' on the accuracy of change detection. In addition, it can be used to reduce the number of typologies of detected changes in order to better point out the changes under investigation.

Paper Details

Date Published: 17 December 1996
PDF: 6 pages
Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); doi: 10.1117/12.262888
Show Author Affiliations
Lorenzo Bruzzone, Univ. of Genoa (Italy)
Fabio Roli, Univ. of Cagliari (Italy)
Sebastiano Bruno Serpico, Univ. of Genoa (Italy)


Published in SPIE Proceedings Vol. 2955:
Image and Signal Processing for Remote Sensing III
Jacky Desachy, Editor(s)

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