Abstract
A new approach, SRR, for small infrared target detection in single image is described herein. SRR is based on local self-similarity descriptor, according to the characteristics of small infrared targets. Using the SRR, the certainty of small targets can be easily measured. Compared to some conventional cutter removal methods, extensive experimental results show that the proposed approach outperforms these methods. Additionally, the proposed approach has a simple structure, which is convenient for implementation. Plans for future research include incorporating efficiently temporal information to further improve detection performance.
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