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Proceedings Paper

Study on object recognition for satellite image
Author(s): Xiaoping Chen; Shengsheng Yu; Zhilong Ma
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Paper Abstract

This paper presents the difference between object recognition for satellite image and general object recognition. To overcome the difficulties of object recognition for satellite image, two methods are proposed in this paper. First, it is shown that traditional moment invariants are no longer invariant while object shape is distorted or contour is blurry. This paper proposes an improved invariable moment algorithm, which reconstructs seven invariants moment formulas, and weakens the sensitivity on distorted border. Moreover, a 3D model database including all interested target's 3D model can be established. When starting to recognize the target in satellite image, several 2D projection images can be retrieved from the model database, using these images as recognition templates will be more accurate than using a single target image. Experimental results show that the methods presented in this paper are effective on satellite image recognition.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67952Y (10 November 2007); doi: 10.1117/12.774193
Show Author Affiliations
Xiaoping Chen, Huazhong Univ. of Science and Technology (China)
Shengsheng Yu, Huazhong Univ. of Science and Technology (China)
Zhilong Ma, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology

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