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An Artificial Immune Approach for Vehicle Detection from High Resolution Space Imagery


Hong Zheng, Li Li


Vol. 7  No. 2  pp. 67-72


Vehicle targets extraction is a new research issue for high resolution satellite imagery application in transportation. In this paper, an artificial immune approach is presented to extract vehicle targets from high resolution panchromatic satellite imagery. This approach uses the antibody network concept inspired from the immune system to learn a set of templates called antibodies for vehicle detection. Based on learned template antibodies, an immune detection strategy is proposed to locate vehicle targets in satellite imagery, and a morphology based preprocessing algorithm is also developed to generate candidate template antibodies. Experiments on 0.6 meter resolution QuickBird panchromatic images are reported in this paper. The experimental results show that the proposed approach has a good detection performance.


Vehicle detection, space imagery, antibody learning, immune network