DocumentCode :
3343217
Title :
Multi-sensor Satellite Image Sub-pixel Registration
Author :
Xing, Shuai ; Xu, Qing ; Ma, Dongyang
Author_Institution :
Inf. Eng. Univ., Zhengzhou
fYear :
2007
fDate :
22-24 Aug. 2007
Firstpage :
713
Lastpage :
718
Abstract :
One way of geocoding a remote sensing image is to register it to an existing orthoimage. A multi-sensor and multi-resolution remote sensing image sub-pixel registration scheme is proposed in this paper. In this registration scheme, point feature, three image matching algorithms (ICM, PRM, ISM) and three constraints (APC, CDM, ICC) are used. They guarantee that the precision of point matching reaches sub-pixel and the distribution of feature points are self-adapted to the area terrain. Then TIN is constructed with feature points. Finally the target image is rectified based on TIN with the improved triangle filling algorithm. Experiment results demonstrate that the registration accuracy of SPOT5 panchromatic image (2.5 m/pixel) is 2-3 m and SPOT5 multi-spectral image (10 m/pixel) is 5-6 m. Since the method has good feasibility, efficiency and accuracy, it has been used in some emergencies such as disaster evaluation, paroxysmal epidemic situation and local war.
Keywords :
geophysical signal processing; image matching; image resolution; remote sensing; sensor fusion; SPOT5 panchromatic image; feature points; image matching algorithms; multi-sensor satellite image sub-pixel registration; multi-spectral image; remote sensing image; Filling; Graphics; Image matching; Image registration; Image resolution; Multispectral imaging; Pixel; Remote sensing; Satellites; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location :
Sichuan
Print_ISBN :
0-7695-2929-1
Type :
conf
DOI :
10.1109/ICIG.2007.57
Filename :
4297174
Link To Document :
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