Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1628006(2023)
Infrared Small Target Detection Method Based on Weighted Patch Contrast
Fig. 1. Sliding window with 9 subblocks
Fig. 2. Sliding window passing through the interfering object
Fig. 3. Infrared images of four different scenes. (a) Ground background; (b) forest building background; (c) cloud background; (d) ocean sky background
Fig. 4. Saliency maps correspending to infrared images in Fig.3. (a) Ground background; (b) forest building background; (c) cloud background; (d) ocean sky background
Fig. 5. Experimental results of response maps. (a) Original infrared images; (b) original gray maps; (c) gray responsemaps using LMWIE;(d) gray response maps using MPCM; (e) gray response maps using proposed method
Fig. 6. Detection results of three algorithms under ground background. (a) Proposed algorithm; (b) LCM algorithm; (c) MPCM algorithm
Fig. 7. The difference between the means under two algorithms. (a) Original image; (b) the mean difference value of the center block and the neighborhood block; (c) the value of the advanced weighted entropy
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Hongkai Wu, Keyan Dong, Yansong Song, Xiaona Dong, Ming Yuan. Infrared Small Target Detection Method Based on Weighted Patch Contrast[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1628006
Category: Remote Sensing and Sensors
Received: Jul. 18, 2022
Accepted: Aug. 4, 2022
Published Online: Aug. 18, 2023
The Author Email: Wu Hongkai (wuhongkai1998@163.com), Dong Keyan (2417818472@qq.com)