Dim Target Detection in Infrared Image Sequences Using Accumulated Information

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Abstract

The targets in infrared images are usually dim and small, buried under heavy clutter and noise. Recognition of such targets is a challenging task, especially in detecting in real-time and low false rate. In this paper, we present a new target detection scheme based on accumulated information, and a neural network structure to realize this method is also introduced. Computer simulation was carried out and the satisfactory result showed substantial reduction in computational complexity.