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Small infrared target detection using sparse ring representation

机译:使用稀疏环表示的小型红外目标检测

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摘要

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.
机译:本文描述了一种用于在单个图像中进行小型红外目标检测的新方法SRR。 SRR根据小型红外目标的特征,基于局部自相似性描述符。使用SRR,可以轻松测量小目标的确定性。与某些常规的刀具去除方法相比,大量的实验结果表明,该方法优于这些方法。另外,所提出的方法具有简单的结构,便于实现。未来研究计划包括有效整合时间信息以进一步提高检测性能。

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