Title :
Matching procedure for remote sensing images
Author :
AbdelSayed, Sherif ; Ionescue, Dan ; Goodenough, David
Author_Institution :
Ottawa Univ., Ont., Canada
Abstract :
In remote sensing applications there is a need for matching the two images. This paper describes a general purpose algorithm for the automated registration and matching of remote sensing images. The method is based on a modified version of the iterative closest point (ICP) algorithm. The algorithm requires a procedure to find the closest point for geometric entity of a given point then it builds a deformation mapping. An example from Ottawa area illustrates the procedure
Keywords :
image matching; image registration; iterative methods; remote sensing; Ottawa area; automated image matching; automated registration; deformation mapping; general purpose algorithm; geometric entity; iterative closest point algorithm; remote sensing images; Image matching; Image registration; Iterative methods; Remote sensing;
Conference_Titel :
Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1994.405776
