The simulation of infrared point target detection based on bidirectional oversampling

Xuanfu Da; Feng Zhou; Linfang Lai

doi:10.1117/12.2205149

6 August 2015 The simulation of infrared point target detection based on bidirectional oversampling

Xuanfu Da, Feng Zhou, Linfang Lai

Proceedings Volume 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China; 966909 (2015) https://doi.org/10.1117/12.2205149
Event: Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 2014, Xian City, China

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.

Citation Download Citation

Xuanfu Da, Feng Zhou, and Linfang Lai "The simulation of infrared point target detection based on bidirectional oversampling", Proc. SPIE 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 966909 (6 August 2015); https://doi.org/10.1117/12.2205149

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