Contour-based multisensor image registration

Author

Li, Hui ; Manjunath, B.S. ; Mitra, Sanjit K.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

fYear

1992

Firstpage

182

Abstract

A contour-based multisensor image registration scheme which uses region boundaries and other strong edges as matching primitives is presented. Chain code correlation and other shape similarity criteria such as moments are used to match closed contours. For the open contours, salient segments such as corners are detected first and then used in the matching process. Experimental results on several sets of Landsat, SPOT, and Seasat images indicate that this approach is quite robust in matching the images with large rotation

Keywords

edge detection; image processing; remote sensing by radar; synthetic aperture radar; Landsat; SAR; SPOT; Seasat; closed contours; contour-based multisensor image registration; corners; matching primitives; open contours; region boundaries; remote sensing; shape similarity criteria; strong edges; Image edge detection; Image registration; Image sensors; Optical sensors; Remote sensing; Robustness; Satellites; Sensor phenomena and characterization; Shape; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-3160-0

Type

conf

DOI

10.1109/ACSSC.1992.269283

Filename

269283