Study on object recognition for satellite image

Xiaoping Chen; Shengsheng Yu; Zhilong Ma

doi:10.1117/12.774193

10 November 2007 Study on object recognition for satellite image

Xiaoping Chen, Shengsheng Yu, Zhilong Ma

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67952Y (2007) https://doi.org/10.1117/12.774193
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

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.

Citation Download Citation

Xiaoping Chen, Shengsheng Yu, and Zhilong Ma "Study on object recognition for satellite image", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67952Y (10 November 2007); https://doi.org/10.1117/12.774193

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