Abstract
For IR maritime object recognition and surveillance in maritime communication administration, it's very important to recognize tiny objects because they are influenced by white Gaussian noise and colorful noise, especially by the wave and tide because of they can make strong noise and interfere recognition heavily. In fact, they are a kind of colorful noises. In this paper, the algorithm based on noise cancellation to strengthen tiny object recognition is proposed. In this method, the sea surface IR noise distribution is researched and mathematical model is constructed, the colorful noise processed to be weak by noise cancellation. This algorithm can detect tiny maritime object on the sea surface effectively, and is useful in night object detection and recognition. Lots of IR videos are utilized as dataset to verify the effectiveness and robustness of this proposed method in this paper.
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