Automatic Registration Of SAR And Optical Image Based On Line And Graph Spectral Theory
In this paper, a novel registration method is proposed by integrating the graph spectral theory and line features. The principal steps of our algorithm are as follows. Firstly, the images are filtered to enhance the reliability and robustness of registration, and line features are acquired by Hough...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4/377/2014/isprsarchives-XL-4-377-2014.pdf |
| Summary: | In this paper, a novel registration method is proposed by integrating the graph spectral theory and line features. The principal steps
of our algorithm are as follows. Firstly, the images are filtered to enhance the reliability and robustness of registration, and line
features are acquired by Hough Transform. Secondly, the original point features can be obtained by calculating the line intersections.
The points are normalized to reduce computational complexity. Thirdly, voronoi diagrams of two point sets are extracted
respectively. The original corresponding point sets are determined by corresponding voronoi diagrams, which can be obtained by
Graph Spectral Theory. At last, RANSAC is used to remove the wrong corresponding points. The transform relationship of the two
input images can be achieved using the corresponding point sets. The experimental results show that the proposed method can
achieve high accuracy for the registration between optical and SAR images. |
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| ISSN: | 1682-1750 2194-9034 |