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Proceedings Paper

Automated registration method with disparity detection for remotely sensed multispectral images
Author(s): Hiroshi Hanaizumi; Yutaka Kanemoto; Sadao Fujimura
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Paper Abstract

A new automated registration method using disparity detection is proposed. In this method, a new pair of control points is automatically generated on a point which has the largest disparity between images to be registered. The procedure is repeatedly applied to the images until the maximum disparity falls below a threshold. Considering the images to be registered as sequential shots of a video image, the disparity is detected as optical flow vectors. The method enables us to ensure the accuracy of registration.

Paper Details

Date Published: 17 December 1996
PDF: 7 pages
Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); doi: 10.1117/12.262892
Show Author Affiliations
Hiroshi Hanaizumi, Hosei Univ. (Japan)
Yutaka Kanemoto, Hosei Univ. (Japan)
Sadao Fujimura, Univ. of Tokyo (Japan)

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

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