A real-time effective method for infrared point-target detection in spatially varying clutter

Zhanghong, Zhaobaojun, Maoerke
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引用次数: 6

Abstract

This paper presents an algorithm of designing an effective image sequence processing scheme, which based on analyzing the targets and background model correctly. This algorithm will successfully detect very small (point) target in spatially varying clutter background when both the target and clutter are moving through the image scene. This method focuses on reducing the cost of computation, tracking the target in real-time, enhancing the SNR, and suppressing the clutter.
一种空间变杂波下红外点目标实时有效检测方法
在正确分析目标和背景模型的基础上,设计了一种有效的图像序列处理方案。当目标和杂波都在图像场景中运动时,该算法可以在空间变化的杂波背景下成功地检测到非常小(点)的目标。该方法注重减少计算量、实时跟踪目标、提高信噪比和抑制杂波。
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