A Novel Method for Single Infrared Dim Small Target Detection Based on ROI extraction and Matrix Recovery
Author:
Affiliation:
1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China
Publisher
ACM Press
Reference12 articles.
1. Gao, Chenqiang, Tianqi Zhang, and Qiang Li. 2012.Small infrared target detection using sparse ring representation. IEEE Aerospace and Electronic Systems Magazine. 27, 3 (May. 2012), 21--30.DOI: 10.1109/MAES.2012.6196254
2. C.L. Philip Chen, et al. 2013. A local contrast method for small infrared target detection. IEEE Transactions on Geoscience and Remote Sensing 52, 1 (Jan.2014): 574--581.DOI: 10.1109/TGRS.2013.2242477
3. Cheng-yong Zheng, and Hong Li. 2013. Small infrared target detection based on harmonic and sparse matrix decomposition. Optical Engineering 52, 6 (Jun. 2013): 066401. DOI= https://doi.org/10.1117/1.OE.52.6.066401
4. Suyog D. Deshpande, et al. 1999. Max-mean and max-median filters for detection of small targets. Signal and Data Processing of Small Targets. In Proc. SPIE 3809. International Society for Optics and Photonics, (Oct. 1999), 74--84. DOI=https://doi.org/10.1117/12.364049
5. Ming Zeng, Jianxun Li, and Zhang Peng. 2006. The design of top-hat morphological filter and application to infrared target detection. Infrared Physics & Technology 48, 1 (Apr. 2006), 67--76. DOI=https://doi.org/10.1016/j.infrared.2005.04.006
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