Small target detection based on accumulated center-surround difference measure |
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| Affiliation: | 1. Shanghai Jiao Tong University, Institute of Image Processing & Pattern Recognition, Department of Automation, 800 Dongchuan Road, Shanghai 200240, PR China;2. University of Technology, Sydney (UTS), School of Computing and Communications, NSW 2007, Australia;1. Institute of Aerospace Information Technology, Zhejiang University, Yuquan Campus, Hangzhou, Zhejiang 310027, PR China;2. Joint Laboratory of Flight Vehicle Ocean-based Measurement and Control, Zhejiang University, Yuquan Campus, Hangzhou, Zhejiang 310027, PR China;3. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;1. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China;2. Faculty of Electronics and Communications, Xi’an Jiaotong University, Xi’an 710049, China;3. China Academy of Launch Vechicle Technology, Peking 100076, China |
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| Abstract: | Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some difficulties remained due to the clutter environment such as the cloud edge and the horizontal line. In the homogeneous area such as sky, cloud-inner area and sea surface area, target can easily be detected, but in heterogeneous area which contains cloud edge, sky-sea line the target may be falsely detected. This paper proposes a novel method called accumulated center-surround difference measure to detect infrared small target in heavy clutter. Each pixel’s accumulated center-surround difference measure is computed by using sliding window manner. The measure can effectively distinguish target region and heterogeneous region. Experimental results show our method achieves better performance. |
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| Keywords: | Small target detection Heterogeneous area Accumulate center-surround difference measure |
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