The simulation of infrared point target detection based on bidirectional oversampling

Xuanfu Da, Feng Zhou, Linfang Lai
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Abstract

The bidirectional oversampling imaging detection system solved the difficulties of infrared point target detection under the traditional single sampling system, effectively improved the image target detection SNR and reduced the false alarm, and improved the target detection performance. The mathematical modeling and system simulation of both traditional line scanning method and bidirectional oversampling scanning system proved that under the same conditions, the detection rate of bidirectional oversampling system is higher than conventional sampling, while the false alarm rate of bidirectional oversampling system is less than conventional sampling.
基于双向过采样的红外点目标检测仿真
双向过采样成像检测系统解决了传统单采样系统下红外点目标检测的困难,有效提高了图像目标检测信噪比,降低了虚警,提高了目标检测性能。通过对传统线扫描方法和双向过采样扫描系统的数学建模和系统仿真,证明在相同条件下,双向过采样系统的检出率高于常规采样,而双向过采样系统的虚警率低于常规采样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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