Infrared imaging guidance missile’s target recognition simulation based on air-to-air combat

Author(s):  
Shenbo Li ◽  
Chaozhe Wang ◽  
Hesong Huang
2014 ◽  
Vol 1044-1045 ◽  
pp. 1343-1348
Author(s):  
Wu Can He ◽  
Shou Yi Liao ◽  
Zuo Yu Zhang ◽  
He Xin Zhang

Dynamic IR image generation of space target is one of the key technologies in hardware in the loop simulation for the infrared imaging guidance system. The three-dimensional entity model is created in the Creator, Sinda/Fluint is used to analyze each part of dynamic infrared radiation characteristics from on-orbit Space Target, on the basis of the LRS infrared star catalogues, celestial background modeling is built. In Vega, the dynamic IR image of space target is generated. The simulation results show that the dynamic IR image of Space Target provide the important objective basis for the hardware in the loop simulation for the infrared imaging guidance system.


2009 ◽  
Author(s):  
Ming Chen ◽  
Ke-yong Wang ◽  
Cheng-tian Song ◽  
Yi-Ming Jiang

2012 ◽  
Vol 198-199 ◽  
pp. 249-255
Author(s):  
Wei Wu

Considering the uncertainty of calculation results by using single feature as measurement of target recognition and identification, this paper discussed the multi-features fusion technology in infrared image recognition classification. The invariant of the singular value and invariant moment feature of infrared target image were used to make fusion. According to Dempster-Shafer Theory, the basic probability assignment was calculated first, and the fusion data was used to make specification decision based on the corresponding rules in the decision-making level. The test result shows that the multi-features fusion method has a better stability, accuracy and reliability in target recognition applications. It can raise the accuracy and fault tolerance ability of infrared image recognition system. So it will have great application value to raise the guidance accuracy of infrared imaging terminal guidance system.


2016 ◽  
Vol 47 (1) ◽  
pp. 103-129 ◽  
Author(s):  
Mikel D. Petty ◽  
Salvador E. Barbosa

2013 ◽  
Author(s):  
Yi-mei Tan ◽  
Fu-gen Zhou ◽  
Ting Jin

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