Infrared Small Target Regions Detection Based on Improved Image Complexity

Zhu Jingwen; Liu Wenhao; Yin Jianfei; Liu Licheng

doi:10.3788/lop55.101006

[1] Yao C Q, Chen W. Infrared dim target detection based on improved particle swarm optimization algorithm［J］. Laser & Optoelectronics Progress, 2017, 54(11): 111101.

[2] Yang L. Study on infrared small target detection and tracking algorithm under complex backgrounds［D］. Shanghai: Shanghai Jiao Tong University, 2006: 75-86.

[3] Li X. Research on infrared dim target detection under complex background［D］. Xi′an: Xidian University, 2010: 25-42.

[4] Bakhdavlatov S, Mao Y X, Gong P, et al. Target detection, segmentation and geometric centre of the object based on local entropy algorithm［C］. 15th Chinese Conference on System Simulation Technology & Application, 2014: 237-241.

[5] Wang Z H, Liu J G, Deng H. Small-target infrared image processing based on novel weighted-local entropy［J］. Journal of Huazhong University of Science and Technology (Nature Science Edition), 2017, 45(8): 42-46.

[6] Wang X, Lv G F, Xu L Z. Infrared dim target detection based on visual attention［J］. Infrared Physics & Technology, 2012, 55(6): 513-521.

[7] Chen C L P, Li H, Wei Y T, et al. A local contrast method for small infrared target detection［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 574-581.

[8] Peng Z T, Chen F D, Tang J, et al. Extracting multi-scale laser damage in optics on difference of Gaussian filter［J］. High Power Laser and Particle Beams, 2017, 29(9): 091003.