期刊论文

Yao, H

英文

Remote Sensing

2072-4292

2023

15

15

3839-

10.3390/rs15153839

Conceptualization, L.L., Y.W. (Yantao Wei) and H.Y.; methodology, L.L. and H.Y.; software, L.L. and Y.W. (Yue Wang); validation, L.L., Y.W. (Yue Wang) and D.C.; writing—original draft preparation, L.L., Y.W. (Yantao Wei) and H.Y.; writing—review and editing, H.Y. and Y.W. (Yantao Wei); visualization, Y.W. (Yue Wang); supervision, H.Y. and Y.W. (Yantao Wei); project administration, H.Y.; funding acquisition, H.Y. and Y.W. (Yantao Wei). All authors have read and agreed to the published version of the manuscript. This research was funded by the National Natural Science Foundation of China, grant number 62277029, and the Fundamental Research Funds for the Central Universities, under grants CCNU22JC025 and CCNU22JC011.

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Detecting infrared (IR) small targets effectively and robustly is crucial for the tasks such as infrared searching and guarding. While methods based on the human vision system (HVS) have achieved great success in this field, detecting dim targets in complex backgrounds remains a challenge due to the multi-scale framework and over-simplified disparity calculations. In this paper, infrared small targets are detected with a novel local contrast measurement named double-layer patch-based contrast (DLPC). Firstly, we crafted an elaborated double-layer local contrast measure, to suppress the backgro...