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
Aiming at the problem that improper selection of detector spectrum has a serious impact on detection efficiency in point target detection. This paper analyzes the main factors affecting point target detection and proposes a point target detection spectrum selection method based on constant false alarms. This method takes detection probability as an evaluation index, comprehensively considers the target and background radiation characteristics, atmospheric radiation transmission, background clutter and sensor noise level. It can calculate the optimal detection spectrum for different target and background information. Taking the typical target detection as an example, the spectrum range where the detection probability meets the requirements under several conditions is calculated, and its feasibility is verified. Through the method in this paper, the point target detection spectrum that meets the requirements of false alarm rate and detection probability can be obtained
Aiming at the problem that infrared detectors can only measure the surface radiation of a target while flying in space. And it is difficult to obtain the hollow scale of the target. This paper designs a method for inverting the hollow scale based on the dynamic change of radiation energy. Taking a hollow sphere as an example, the relationship between the target radiation intensity and the hollow scale and time is given. Analyzed the relationship between the target radiation amount its influencing factors. On this basis, the ralationship feature between radiation and hollow scale under different time conditions is given. Through the method in this paper, hollow scale of the target can be estimated to support target detection and recognition analysis.
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