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The performance of EO/IR systems is influenced on the testing circumstance. After studying theoretically the performance variations by environmental conditions, we estimate the practical performances of the systems. But the results of test in the field is beyond theoretical estimations due to sudden changes of the atmospheric conditions which becomes worse under low altitude and long distance between...
It is important to stably extract horizon lines for sea-based infrared search and track. Most of the existing solutions for the problems only use single image to detect horizon line. Although this results in good accuracy for some images, it often fails to detect horizons in foggy, occluded environments. In this paper, we propose a novel horizon detection and tracking method that is robust to sensor...
Detecting small targets is essential for mitigating the sea-based Infrared search and track (IRST) problem. It is easy to detect small targets in homogeneous backgrounds such as the sky. When targets are on the border line of heterogeneous backgrounds such as the horizon in the sky and sea surface, solving the problem of detection becomes difficult. This paper presents a novel spatial filtering method,...
A clutter reduction method using track classification and clutter map generation for the real-time target detection and tracking system is presented. Track classification identifies background clutter tracks and this information is used to reduce false detection rate in the detection process. Experimental results show the proposed method can reduce considerable false track rate.
A cooperative spatial filtering method is presented to detect small targets around horizontal region for infrared search and track (IRST). Double window filter (DWF) can enhance signal-to-noise ratio then directional background removal filter (DBRF) can subtract horizontal background structure. Experimental results present upgraded detection rate and false alarm rate.
Robust detection of small targets is very important in IRST (Infrared Search and Track). This paper presents a novel mathematical method for the incoming target detection problem in cluttered background motivated from the robust properties of human visual system (HVS). The HVS shows the best efficiency and robustness for an object detection task. The robust properties of the HVS are contrast mechanism,...
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