Infrared Image Simulation Based On Statistical Learning Theory |
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Authors: | Huang Chaochao Wu Xiaodi and Tong Wuqin |
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Institution: | (1) Key Lab of Infrared and Low Temperature Plasma of Anhui Province, Hefei Electronic Engineering Institute, Hefei, Anhui, 230037, People’s Republic of China |
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Abstract: | A real-time simulation algorithm of infrared image based on statistical learning theory is presented. The method includes
three contents to achieve real-time simulation of infrared image, such as acquiring the training sample, forecasting the scene
temperature field value by statistical learning machine, data processing and data analysis of temperature field. The simulation
result shows this algorithm based on ν - support vector regression have better maneuverability and generalization than the other method, and the simulation precision
and real-time quality are satisfying. |
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Keywords: | Statistical learning Infrared image Real-time simulation ν - support vector regression |
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