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Proceedings Paper

Method for change analysis with weight of significance using multitemporal multispectral images
Author(s): Hiroshi Hanaizumi; Shinji Chino; Sadao Fujimura
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Paper Abstract

A new method is proposed for change analysis with weight of significance between two multi- temporal multi-spectral images. This method gives us areas which indicate the assigned temporal change, for example, from vegetation to bare soil. Image data are projected onto a feature space in which the assigned change is emphasized, and temporal changes between two images are detected with suppression of irrelevant changes. The validity of the method is confirmed by numerical simulation. The method is successfully applied to actual multi- temporal and multi-spectral images.

Paper Details

Date Published: 30 December 1994
PDF: 7 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196726
Show Author Affiliations
Hiroshi Hanaizumi, Hosei Univ. (Japan)
Shinji Chino, Hosei Univ. (Japan)
Sadao Fujimura, Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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