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Proceedings Paper

A stitching algorithm of remote sensing images from aviation swaying camera
Author(s): Yinghui Gao; Kai Lu; Zhenkang Shen
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Paper Abstract

Stitching of images is the task of fusing a collection of images with smaller field of view (FOV) to obtain an image with a larger FOV. The need for this procedure is motivated by a variety of applications, especially including the application in the aviation remote sensing field. The paper puts emphasis on studying how to stitch the image set taken by the aviation swaying camera. In order to accomplish this task, we should know how the aviation camera sways. So the camera swaying model is presented firstly. The possible geometrical distortion of the image set can be known from the camera swaying model, and it includes two parts: the rotation and the perspective distortion. Aiming at the rotation distortion, we propose a novel image rotation method that can save the computation time. In this method, we rotate the four edge lines of the image utilizing the traditional rotation method. According to the relative position rotation invariability of any pair of points in an image, the other points except that on the four edge lines then can be rotated. The last step of the algorithm is the stitching which needs not only to search the optimal matching area between neighboring images but also to stitch the image set smoothly. The paper presents an extremum matching method based on the difference image, by which we can find the optimal matching areas between neighboring images in the image set. Through linearly changing the stitching weight of overlap areas, the image set can be stitched smoothly. The theoretical analysis and the experimental results have demonstrated the feasibility and validity of this stitching algorithm for the remote sensing images from the aviation swaying camera.

Paper Details

Date Published: 5 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59852L (5 January 2006); doi: 10.1117/12.657696
Show Author Affiliations
Yinghui Gao, National Univ. of Defense Technology (China)
Kai Lu, National Univ. of Defense Technology (China)
Zhenkang Shen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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