Entropy-based window selection for detecting dim and small infrared targets

作者：

Highlights：

• We present an adaptive entropy-based window selection scheme.

• The novel local difference measure map can keep low false alarm rates under the same probability of detection.

• The proposed method is simple and effective with regard to detection accuracy.

摘要

•We present an adaptive entropy-based window selection scheme.•The novel local difference measure map can keep low false alarm rates under the same probability of detection.•The proposed method is simple and effective with regard to detection accuracy.

论文关键词：Dim and small target detection,Infrared image,Local difference measure,Window selection

论文评审过程：Received 10 August 2015, Revised 8 June 2016, Accepted 23 July 2016, Available online 26 July 2016, Version of Record 2 August 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.036