Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.861661
