Renqiang Wang
ABSTRACT
The disadvantages of traditional intelligent recognition methods for infrared imaging targets based on support vector machines (SVM) or neural networks for unmanned autonomous ships (UASs) are short recognition distance and limited recognition range. Aiming at the above problems, a new intelligent recognition method based on fuzzy mathematical model for infrared imaging target is proposed in paper. The method consists of three steps: first, preprocessing infrared images of ships, including image filtering, image enhancement and image segmentation; second, extracting image features based on geometric characteristics; third, using image features as feature factors of the fuzzy mathematical model to construct a fuzzy set, and using the principle of proximity. Recognize objects through attribute judgment and complete target recognition. The results show that, compared with the methods based on SVM and neural network, this method can be used for intelligent recognition of UASs. The recognition distance is extended by 10 and 20m, and the recognition range is expanded.
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