Infrared Small-Target Detection Using Multiscale Gray Difference Weighted Image Entropy
Infrared Small-Target Detection Using Multiscale Gray Difference Weighted Image Entropy
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DOI：
10.1109/taes.2015.140878
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发表时间：
2016-02-01
影响因子：
4.4
通讯作者：
Zhou, Xin
中科院分区：
文献类型：
--
作者：
Deng, He;Sun, Xianping;Zhou, Xin
提出了一种有效的基于加权图像熵的小目标检测方法。该方法利用多尺度灰度差对局部熵进行加权，然后进行自适应阈值运算，以提高场景中干扰目标相对于小目标具有相似热强度度量的情况下的信噪比。在6个实序列上验证了该方法的检测能力，结果表明该方法具有重要意义和改进作用。
We propose an effective small-target detection approach based on weighted image entropy. The approach weights the local entropy measure by the multiscale grayscale difference followed by an adaptive threshold operation, which aims to improve the signal-to-noise ratio for cases in which jamming objects in the scene have similar thermal intensity measure with respect to the background as small target. The detection capability of the proposed approach has been validated on six real sequences, and the results demonstrate its significance and improvement.