TY - GEN
T1 - Registration of remote sensing images based on Gaussian fitting
AU - Wang, Xiaofei
AU - Zhang, Junping
AU - Zhang, Ye
PY - 2008
Y1 - 2008
N2 - Image registration is one of the critical techniques in multi-sensor image fusion. Classical image registration method using similarity measures can only find Registration Control Point (RCP) on discrete points on images, which makes it difficult to get higher registration precision. This paper presents an image registration method based on Gaussian fitting matching, which takes two dimensional Gaussian fit matching on measurement matrix produced by classical search method of image RCPs. This method has the potential of getting more accurate position of RCPs. Experiment shows that using our method can obtain higher registration accuracy than that of classical method.
AB - Image registration is one of the critical techniques in multi-sensor image fusion. Classical image registration method using similarity measures can only find Registration Control Point (RCP) on discrete points on images, which makes it difficult to get higher registration precision. This paper presents an image registration method based on Gaussian fitting matching, which takes two dimensional Gaussian fit matching on measurement matrix produced by classical search method of image RCPs. This method has the potential of getting more accurate position of RCPs. Experiment shows that using our method can obtain higher registration accuracy than that of classical method.
UR - https://www.scopus.com/pages/publications/51949116742
U2 - 10.1109/ICIEA.2008.4582543
DO - 10.1109/ICIEA.2008.4582543
M3 - 会议稿件
AN - SCOPUS:51949116742
SN - 9781424417186
T3 - 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
SP - 378
EP - 381
BT - 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
T2 - 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Y2 - 3 June 2008 through 5 June 2008
ER -