TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
A novel hybrid method for robust infrared target detection |
| 영문제목(English Title) |
A novel hybrid method for robust infrared target detection |
| 저자(Author) |
Xin Wang
Lingling Xu
Yuzhen Zhang
Chen Ning
|
| 원문수록처(Citation) |
VOL 11 NO. 10 PP. 5006 ~ 5022 (2017. 10) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Effect and robust detection of targets in infrared images has crucial meaning for many applications, such as infrared guidance, early warning, and video surveillance. However, it is not an easy task due to the special characteristics of the infrared images, in which the background clutters are severe and the targets are weak. The recent literature demonstrates that sparse representation can help handle the detection problem, however, the detection performance should be improved. To this end, in this text, a hybrid method based on local sparse representation and contrast is proposed, which can effectively and robustly detect the infrared targets. First, a residual image is calculated based on local sparse representation for the original image, in which the target can be effectively highlighted. Then, a local contrast based method is adopted to compute the target prediction image, in which the background clutters can be highly suppressed. Subsequently, the residual image and the target prediction image are combined together adaptively so as to accurately and robustly locate the targets. Based on a set of comprehensive experiments, our algorithm has demonstrated better performance than other existing alternatives. |
| 키워드(Keyword) |
Infrared
target detection
local sparse representation
contrast
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| 파일첨부 |
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