Design of imaging performance evaluation software based on infrared characteristic database

Xicheng Wang; Lv Wang; Bing Yu; Hongliang Cheng; Yanling Luo; Meng Gao; Hemin Meng; Man Wang; Zedong Gao

doi:10.1117/12.3021012

30 April 2024 Design of imaging performance evaluation software based on infrared characteristic database

Xicheng Wang, Lv Wang, Bing Yu, Hongliang Cheng, Yanling Luo, Meng Gao, Hemin Meng, Man Wang, Zedong Gao

Proceedings Volume 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies; 131571D (2024) https://doi.org/10.1117/12.3021012
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

When the airborne infrared imaging system searches and strikes ground targets, it is mainly used to extract target information from complex background interference images on the ground and transmit it to the driving or automatic guidance system, forming the position and motion information of the missile relative to the target, in order to better track the target and output information to control the missile's flight. The airborne infrared imaging system detects, recognizes, and the tracking performance is closely related to the infrared radiation characteristics of the background. This article focuses on the research of multiband characteristics of military application targets and backgrounds. On the basis of unified standards, a database management system is established to meet the management and query functions of measured infrared characteristics data of typical backgrounds such as deserts, grasslands, mountains, and forests in different seasons and at different times, as well as the development of an infrared imaging detection performance evaluation system, We studied the detection and recognition probabilities of infrared imaging systems for targets at different distances in different background environments, and provided theoretical calculation results for the detection range of a certain type of installed airborne infrared imaging detection system for 2m * 2m sized targets in the 3.7μm-4.8μm band at 9:00, 16:00, and 21:00 in a summer grassland background in a certain area. This provides support for the design and development of infrared imaging weapons and equipment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xicheng Wang, Lv Wang, Bing Yu, Hongliang Cheng, Yanling Luo, Meng Gao, Hemin Meng, Man Wang, and Zedong Gao "Design of imaging performance evaluation software based on infrared characteristic database", Proc. SPIE 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies, 131571D (30 April 2024); https://doi.org/10.1117/12.3021012

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KEYWORDS

Infrared imaging

Imaging systems

Target detection

Databases

Infrared radiation

Transmittance

Signal to noise ratio

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