A surface matching approach to target recognition from forward-looking laser radar imagery |
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Authors: | Li Wang Jianfeng Sun Qi Wang |
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Institution: | National Key Laboratory of Tunable Laser Technology, Harbin Institute of Technology, Harbin 150001, China |
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Abstract: | A modified spin-image surface matching system for out-of-plane rotation-invariant recognition in forward-looking laser radar (Ladar) range imagery has been described in the literature. In this paper, we experimentally address the relation between the training-set size used in the new method and recognition rate and present a method for selecting the training sample images. The modified system has attractive properties that include: rotated invariance, simplified training-set selection, predigestion from the 3-D range image to a set of 2-D images, tolerance for a significant amount of noise, no feature extraction. Each of these properties is investigated in the paper. |
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Keywords: | Ladar Target recognition Range imagery Rotated invariance Training-set |
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