TY - GEN
T1 - A novel control point dispersion method for image registration robust to local distortion
AU - Yuan, Yuan
AU - Yu, Meng
AU - Lei, Lin
AU - Jian, Yang
AU - Jingbo, Chen
AU - Anzhi, Yue
AU - Dongxu, He
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Extracting well-distributed and precisely aligned control points (CPs) is extremely important for remote sensing image registration, particularly for high resolution images with large local distortion. Based on a theoretical analysis of estimation perturbation in transformation parameters, a novel CP dispersion approach is proposed to select high quality and uniformly distributed CPs. This approach retains a minimum spanning tree (MST) of the selected CPs during the algorithm and adds a new CP to the tree in each iteration until satisfying the convergence condition. Moreover, to acquire adequate number of CPs for the dispersion process, a coarse-to-fine matching approach is proposed. Experiment results indicate that the proposed method improves the match performance compared to other CP dispersion methods in terms of aligning accuracy.
AB - Extracting well-distributed and precisely aligned control points (CPs) is extremely important for remote sensing image registration, particularly for high resolution images with large local distortion. Based on a theoretical analysis of estimation perturbation in transformation parameters, a novel CP dispersion approach is proposed to select high quality and uniformly distributed CPs. This approach retains a minimum spanning tree (MST) of the selected CPs during the algorithm and adds a new CP to the tree in each iteration until satisfying the convergence condition. Moreover, to acquire adequate number of CPs for the dispersion process, a coarse-to-fine matching approach is proposed. Experiment results indicate that the proposed method improves the match performance compared to other CP dispersion methods in terms of aligning accuracy.
KW - Coarse-to-fine matching strategy
KW - Control point dispersion
KW - Image registration
KW - Local image distortions
UR - http://www.scopus.com/inward/record.url?scp=84943636199&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-21978-3_25
DO - 10.1007/978-3-319-21978-3_25
M3 - 会议稿件
AN - SCOPUS:84943636199
SN - 9783319219776
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 278
EP - 287
BT - Image and Graphics - 8th International Conference, ICIG 2015, Proceedings
A2 - Zhang, Yu-Jin
PB - Springer Verlag
T2 - 8th International Conference on Image and Graphics, ICIG 2015
Y2 - 13 August 2015 through 16 August 2015
ER -