Analysis of the optimal detection spectrum of air targets based on MODIS data

Youkun Zhang; Hongxia Mao; Zheng Liu

doi:10.1117/12.2682711

24 May 2023 Analysis of the optimal detection spectrum of air targets based on MODIS data

Youkun Zhang, Hongxia Mao, Zheng Liu

Proceedings Volume 12706, First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023); 127060P (2023) https://doi.org/10.1117/12.2682711
Event: First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023), 2023, Shanghai, China

Abstract

In point target optical detection, the selection of the detection spectrum largely determines the upper limit of detection capability. In this paper, we analyze the main factors affecting point target detection and propose a spectral segment selection method for point target detection based on constant false alarm. The method uses the probability of detection as an evaluation index and considers the target and background radiation properties, atmospheric radiative transfer, background clutter and sensor noise levels. The method can calculate the optimal spectral band for its detection for different cases of target and background information. In this paper, we analyze the clutter levels of different surface types of background using MODIS data, and take typical airborne target detection as an example. We calculate the range of spectral bands whose detection probabilities meet the requirements under several conditions to verify its feasibility. The results show that the point target detection spectra satisfying the false alarm rate and detection probability requirements can be obtained by the method in this paper

Citation Download Citation

Youkun Zhang, Hongxia Mao, and Zheng Liu "Analysis of the optimal detection spectrum of air targets based on MODIS data", Proc. SPIE 12706, First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023), 127060P (24 May 2023); https://doi.org/10.1117/12.2682711

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