A non-parametric invariant approach to image registration and its application to image rectification

Author

Martinez, A. ; Consuegra, J. García ; Navarro, E.

Author_Institution

Comput. Sci. Dept., Castilla-La Mancha Univ., Albacete, Spain

Volume

2

fYear

2000

fDate

2000

Firstpage

654

Abstract

This paper offers a non-parametric approach to image matching and its application to geometric correction. Geometric invariants are shape or surface descriptors which remain invariant under geometrical transformations such as projection or viewpoint change. Non-parametric invariants are used as a distance measure in the matching process. A new invariant is proposed than can handle slight non-linear effects and partial occlusions, which are so frequent in remote sensing imagery

Keywords

geophysical signal processing; geophysical techniques; image matching; image processing; image registration; remote sensing; terrain mapping; distance measure; geometric correction; geometric invariant; geophysical measurement technique; image matching; image processing; image rectification; image registration; land surface; matching process; nonlinear effect; nonparametric approach; nonparametric invariant approach; partial occlusion; remote sensing; remote sensing imagery; shape; surface descriptor; terrain mapping; Application software; Computer science; Detection algorithms; Focusing; Image matching; Image registration; Image segmentation; Programmable control; Remote sensing; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.861661

Filename

861661