The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008
128
LiuBin, ZhangGuo, ZhuXiaoyong, GongJianya. “A Method on
High-Precision Rectification and Registration Multi-Source
Remote Sensing Imagery”. Isprs.2007.
Zai, X. and Zhao,Y., 2007. A Stereo Matching Algorithm Based
on SIFT Feature Descriptor. Micor-computer Information, 23
(8-3), pp. 285-287
Zhang, C., Zhou, Y., Wu, S. and Lin, H., 2008. Automatic
mosaic of surveillance images based on SIFT feature matching.
Computer Applications, 28(1), pp. 191-194.
Qian, S. and Zhu, J., 2007. Improved SIFT-based Bidirectional
Image Matching Algorithm. Mechanical Science and
Technology for Aerospace Engineering, 26(9), pp. 1179-1182.
LuLijun. ’’Redistration of INSAR image and parallel Algorithm
Study”. 2005.
David. G. Lowe, “Distinctive ImageFeatures from Scale-
Invariant Keypoint”. January 5, 2004.
David G. Lowe, Object Recognition from Local Scale-Invariant
Features. Proc. of the International Conference on Computer
Vision, Corfu, 1999.
Li, X., Zhang, L. and Hu, Z., 2006. SIFH Based Automatic
Registration of Remotely-sensed Imagery. Journal of Remote
Senseing, 10(6), pp. 885-892.
ACKNOMLEDGEMENT
The authors wish to thank open research subject of Key
Laboratory of Geo-informatics of State Bureau of Surveying
and Mapping (Project No.: A1721), and China International
Science and Technology Cooperation Project: High-Resolution
Stereo Mapping Satellite: Field Geometric Calibration and
Application (Project No.: 2006DFA71570), and Commission of
Science Technology and Industry for National Defense Project:
Key Techniques of Data Processing for Mapping Satellite for
financial support.