DocumentCode
2320858
Title
Automatic registration of SAR and optics image based on multi-features on suburban areas
Author
Weijie, Jia ; Jixian, Zhang ; Jinghui, Yang
Author_Institution
Inst. of Photogrammetry & Remote Sensing, Chinese Acad. of Mapping & Surveying, Beijing, China
fYear
2009
fDate
20-22 May 2009
Firstpage
1
Lastpage
7
Abstract
Image registration, the process of estimating the optimal correspondence relation between two or more images taken at different time, from different viewpoint or by different sensors, is essential for a variety of applications in remote sensing, computer vision, pattern recognition and medicine, etc. It is a prerequisite for accomplishing high level tasks such as sensor fusion, surface reconstruction, change detection, and object recognition. In order to realize the automatic registration between Synthesize Aperture Radar(SAR) and Optical images, in this paper, an automatic registration algorithm based on different features is proposed. This method is proposed according to characteristic of image of remote sensing. Patches, edge and point features are used in our paper to registry. The evaluation of the image registration accuracy proves that the stratified registration algorithm based on multi-features proposed in this paper work well in automatic registration of SAR image and optical image with pixel accuracy.
Keywords
feature extraction; geophysical techniques; geophysics computing; image matching; image registration; remote sensing by radar; synthetic aperture radar; SAR images; Synthesize Aperture Radar; automatic registration algorithm; change detection; edge-points features; object recognition; optical images; patches feature; remote sensing; sensor fusion; suburban areas; surface reconstruction; Application software; Biomedical imaging; Biomedical optical imaging; Computer vision; Image registration; Image sensors; Optical sensors; Pattern recognition; Remote sensing; Sensor fusion; Feature-based registration; Image registration; Optical image; Patches feature; SAR image; edge and points features;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event, 2009 Joint
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3460-2
Electronic_ISBN
978-1-4244-3461-9
Type
conf
DOI
10.1109/URS.2009.5137610
Filename
5137610
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