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Abstract
Due to its inherent characteristics, infrared small target detection plays an important role in the field of image detection. In order to improve the detection accuracy of small infrared targets under complex sea background, by analyzing the difference between small targets and sea clutter, we propose an infrared small target detection algorithm based on the peak aggregation number and Gaussian discrimination. First we remove the background through local large value detection and extracts suspect targets. Then, the peak aggregation number of the suspected target is counted to eliminate most of the strong wave clutter and strong island edges. Finally, the small waves are eliminated by Gaussian discrimination. The experimental results show that our algorithm has good performance under strong noise interference and calm sea conditions.
Highlights
The infrared small target detection technology is one of the key technologies in the sea surface rescue system and early warning system
In order to obtain better performance under the complex sea surface background, we propose an infrared small target detection algorithm based on peak aggregation number and Gaussian discrimination
ALGORITHM Based on the above analysis, we propose a small infrared target detection algorithm based on peak aggregation and Gaussian discrimination
Summary
The infrared small target detection technology is one of the key technologies in the sea surface rescue system and early warning system. In 2018, Nie et al proposed a multiscale local homogeneity measure method by integrating the internal homogeneity of the target itself and increasing the heterogeneity between the target and local background regions [9] This method has low discrimination of strong clutter, which leads to a high false alarm rate. In order to obtain better performance under the complex sea surface background, we propose an infrared small target detection algorithm based on peak aggregation number and Gaussian discrimination. The peak aggregation discrimination algorithm based on this criterion can effectively distinguish small targets with strong wave clutter. An infrared small target detection algorithm based on the peak aggregation and Gaussian discrimination is proposed. The fifth part summarizes the main work of this paper
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