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.
Infrared small-target detection using multiscale gray difference weighted image entropy
IEEE Transactions on Aerospace and Electronic Systems ; 52 , 1 ; 60-72
2016-02-01
1893237 byte
Article (Journal)
Electronic Resource
English
Multiscale Edge Detection for Infrared Ship Target Recognition
British Library Conference Proceedings | 1995
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