Paper Info
Title
Automatic Multisensor Image Registration Based On Global And Local Geometric Consistent Edge Segments
Abstract
Edge based image registration is efficient for multisensor image registration. However, original similarity measures are sensitive to noise or geometric distortion. In order to solve the problems, a new similarity measure is proposed combining chord distance and local geometric modal. Meanwhile consistency between global and local geometric modal is used to enhance the robustness of registration. Only matched edge segments consistent with both global and local geometric modal are reserved as final matched results. Experiments show that the proposed method is applicable in registering multisensor images with strong edges.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5649483
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords
Field
DocType
Image Registration, Edge, Geometric Consistent
Computer vision,Similarity measure,Pattern recognition,Computer science,Image segmentation,Robustness (computer science),Pixel,Artificial intelligence,Image resolution,Distortion,Modal,Image registration
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Zhiwen Zhu14311.61
Jian-Cheng Luo29920.75