Title :
Image Matching for Geomorphic Measurement Based on SIFT and RANSAC Methods
Author :
Wei, Wang ; Jun, Hong ; Yiping, Tang
Author_Institution :
State Key Lab. for Manuf. Syst. Eng., Xi´´an Jiaotong Univ., Xi´´an
Abstract :
To effectively realize the image feature matching for geomorphic reverse measurement and rebuilding, a new matching scheme is presented, where the SIFT method are adopted to implement initial geomorphic image matching by going through five stages: scale-space construction, scale-space extrema detection, orientation assignment, keypoint descriptor and feature vector matching. Then, in order to eliminate the wrong matching features existing in the initial matching process, RANSAC algorithm is applied. The experimental results show that this algorithm can effectively improve the accuracy and efficiency of geomorphic image matching.
Keywords :
feature extraction; geography; geomorphology; image matching; image texture; topography (Earth); RANSAC method; SIFT method; feature vector matching; geomorphic measurement; geomorphic rebuilding; geomorphic reverse measurement; image matching; image texture; keypoint descriptor; orientation assignment; scale-space construction; scale-space extrema detection; Coordinate measuring machines; Force measurement; Frequency conversion; Image matching; Matrix decomposition; Missiles; Robustness; Software measurement; Time measurement; Transmission line matrix methods; Geomorphic Reverse Measurement; Image Matching; RANSAC; SIFT;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.318
