Spaceborne sensor detection spectrum optimization of point target based on detection signal-to-noise ratio

Xijuan Zhu; Ran Duan; Jie Wu; Kaifeng Wu; Jing Ma

doi:10.1117/12.2664409

4 April 2023 Spaceborne sensor detection spectrum optimization of point target based on detection signal-to-noise ratio

Xijuan Zhu, Ran Duan, Jie Wu, Kaifeng Wu, Jing Ma

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 126171L (2023) https://doi.org/10.1117/12.2664409
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

Most of the traditional infrared remote sensing systems are single-band imaging with wide spectral range, which cannot adapt to the variability of background and target characteristics in point target detection. The full-link model of point target detection by space-based infrared sensor is constructed, the target, background, atmosphere, sensor spectral response, space response, radiation response, noise characteristics and other factors are comprehensively considered. A band optimization method based on detection signal to noise ratio is proposed. With the cloud and sea background as the typical background, three narrow bands are selected in the short-wave, medium-wave and long-wave ranges, respectively.

Citation Download Citation

Xijuan Zhu, Ran Duan, Jie Wu, Kaifeng Wu, and Jing Ma "Spaceborne sensor detection spectrum optimization of point target based on detection signal-to-noise ratio", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 126171L (4 April 2023); https://doi.org/10.1117/12.2664409

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