Multispectral IR imaging systems

2021 ◽  
Author(s):  
Jamie L. Ramsey ◽  
P. Wachtel ◽  
J. D. Musgraves ◽  
J. Deegan
Keyword(s):  
2019 ◽  
Vol 29 (4) ◽  
pp. 106
Author(s):  
Basaad Hadi Hamza

Modern sensor systems have complex sensor assemblies with performance depending on variety of factors. An algorithm presented in this work to provide accurate image rendering in the optical spectral ranges of IR imaging systems. From the images output notice that in long wavelength bandwidth of IR (8-12) µm the image was more clarity without noise. This mean S/N ratio and the Efficiency of detector is bigger than band (1-3) µm. Recommend that this method can be used to improve the performance of the thermal detector which uses in thermal imaging system in any package of wavelength. This algorithm can be store as a code in the cart storage of IR imaging system.


2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Tae Wuk Bae ◽  
Young Choon Kim ◽  
Sang Ho Ahn

Infrared (IR) target signatures and background scenes are mainly used for military research purposes such as reconnaissance and detection of enemy targets in modern IR imaging systems like IR search and track (IRST) system. For understanding and analyzing IR signatures and backgrounds in the IR imaging systems, an IR wavelength band (WB) conversion which transforms an arbitrary WB image to another WB is very important in the absence of equipment by WB. In addition, IR image synthesis of targets and backgrounds can provide a great deal of information in the IR target detection field. However, the WB conversion is actually a very challenging research due to lack of information on the absorptivity and transmittance of enormous components of an object or atmosphere. In addition, the radiation and reflectance characteristics of short-wave IR (SWIR)-WB are very different from those of long-wave IR (LWIR)-WB and middle-wave IR (MWIR)-WB. Therefore, the WB conversion in this paper is limited only to IR target signatures and monotonous backgrounds, which is commonly used for military purposes, at a long distance. This paper proposes an IR synthesis method for generating a synthesized IR image of three IR-WBs by synthesizing an IR target signature and a real background scene for an arbitrary IR-WB. In the proposed method, each temperature information is first estimated from an IR target signature and IR background image for an arbitrary IR-WB, and then a synthesized temperature image is generated by combining the respective temperature information estimated from the IR target signature and background scene. Finally, the synthesized temperature image is transformed into an IR radiance image of three IR-WBs. Through the proposed method, various IR synthesis experiments are performed for various IR target signature and background scenes.


2003 ◽  
Author(s):  
Valery M. Marchenko ◽  
Sascha Matern ◽  
Hans-Georg Purwins ◽  
Yuri A. Astrov ◽  
Leonid M. Portsel

2011 ◽  
Author(s):  
Xiaoming Chen ◽  
Shusheng Yu ◽  
Yujue Li ◽  
Chao Di ◽  
Yi Cao

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