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

2018 ◽  
Author(s):  
Shenbo Li ◽  
Chaozhe Wang ◽  
Hesong Huang
Keyword(s):  
Infrared Imaging ◽  
Target Recognition ◽  
Imaging Guidance ◽  
Simulation Based ◽  
Air Combat

Study on Dynamic IR Image Generation of Space Target

2014 ◽  
Vol 1044-1045 ◽  
pp. 1343-1348
Author(s):  
Wu Can He ◽  
Shou Yi Liao ◽  
Zuo Yu Zhang ◽  
He Xin Zhang
Keyword(s):  
Infrared Imaging ◽  
Three Dimensional ◽  
Orbit Space ◽  
Guidance System ◽  
Image Generation ◽  
Hardware In The Loop ◽  
Imaging Guidance ◽  
Infrared Star ◽  
Objective Basis ◽  
Space Target

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.

Tank target recognition used in infrared imaging fuze based on FPGA

2009 ◽  
Author(s):  
Ming Chen ◽  
Ke-yong Wang ◽  
Cheng-tian Song ◽  
Yi-Ming Jiang
Keyword(s):  
Infrared Imaging ◽  
Target Recognition

Infrared Target Recognition Based on Multi-Features Fusion

2012 ◽  
Vol 198-199 ◽  
pp. 249-255
Author(s):  
Wei Wu
Keyword(s):  
Image Recognition ◽  
Infrared Imaging ◽  
Target Recognition ◽  
Infrared Image ◽  
Recognition System ◽  
Guidance System ◽  
Features Fusion ◽  
Dempster Shafer Theory ◽  
Calculation Results ◽  
Shafer Theory

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.

Improving Air Combat Maneuvering Skills Through Self-Study and Simulation-Based Practice

2016 ◽  
Vol 47 (1) ◽  
pp. 103-129 ◽  
Author(s):  
Mikel D. Petty ◽  
Salvador E. Barbosa
Keyword(s):  
Simulation Based ◽  
Self Study ◽  
Air Combat

Tracking the key point of a building in infrared imaging guidance

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