Manifold knowledge extraction and target recognition

Cai Chao; Zhou Hua

doi:10.1117/12.832867

30 October 2009 Manifold knowledge extraction and target recognition

Cai Chao, Zhou Hua

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951Q (2009) https://doi.org/10.1117/12.832867
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Advanced mammalian target identification derived from the perception of target's manifold and measurement manifolddistance. It does not rely on object's segmented accuracy, not depend on target's variety model, and adapt to a range of changes on targets. In this paper, based on the existed manifold learning algorithm, set up a new bionic automatic target recognition model, discussed the targets manifold knowledge acquisition and the knowledge expression architecture, gave a manifold knowledge-based new method for automatic target recognition. Experiments show that the new method has a strong adaptability to targets various transform, and has a very high correctly identification probability.

Citation Download Citation

Cai Chao and Zhou Hua "Manifold knowledge extraction and target recognition", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951Q (30 October 2009); https://doi.org/10.1117/12.832867

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