基于角点检测的高精度点匹配算法(High accuracy point matching algorithm based on corner detection).doc
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基于角点检测的高精度点匹配算法(High accuracy point matching algorithm based on corner detection)
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Automatic point matching algorithm based on corner detection
Xu Lin cao xiaoguang yu wenxia
(Beijing university of aeronautics and astronautics image processing center, Beijing 100083)
Aiming at the automatic registration of multispectral and multi-sensor remote sensing images, a new high precision automatic point matching algorithm based on Harris point detection is proposed in this paper
The algorithm makes full use of the angular feature of the image and image grayscale and location information
The circular template was used for similarity calculation and relaxation matching
Global consistency is used to ensure the accuracy of matching
Preliminary experiments show that
This algorithm can accurately match the remote sensing images with affine transformation
The accuracy and speed are better than the traditional point matching algorithm
Keywords Angle point detection point matching circular template consistency detection affine transformation
A Point Matching Algorithm based on Corner Detection
Xu Lin Cao Xiaoguang Yu Wenxia
(Image Processing Center, BeiHang University, BeiJing, 100083)
The Abstract For automatic registration of multi - spectral and multi - sensor remote sensing images, a new high accuracy point matching algorithm -based on Harris corner detection is described in this paper. It top service full use of graphic point feature, gray - level pixel and the location information. In the matching process, the circular template is adopted to calculate similarity. Moreover, the consistency checking method is 2 make sure the matching accuracy... Experimental results on remote sensing image pairs with affine geometric transform showed that the algorithm could do accurate automatic matching and it outperforms traditional point matching algorithms both in accuracy and running speed.
Keywords Corner detection Point
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