Research On Image Forming Technology And Result Analyzing Methods For Performance Evaluation

Performance evaluation is a strong method to improve ATR system performance by inputting special image data to ATR system, analyzing result data and finding disadvantages of it and adjusting system parameters. Performance evaluation needs lots of image data as the input of ATR system, but collecting image data is very costly, and this situation urge the research of the image forming technology. The result of performance evaluation must be effectively analyzed so that real performance of the system can be got. Aiming at the shortcoming of original image forming technology, this paper give the solutions by modeling temperature of the surface of different terrain regions and replacing texture to simulate IR image in given conditions and using several recursion methods to analyzing performance data. This paper include temperature of surface of different terrain regions ,texture models and parameters estimation method ,method of coding different terrain regions of background and recursion methods of result data.Radiance of different terrain regions change with weather and time and the change of those regions is different .It must be considered in simulating image of given condition from real image. This paper use temperature model of terrains to predict temperature of given condition, then transforms it to radiance and then get the gray level of result image. Replacing the texture of a region in background image will meet a problem. It is that the scale of texture image is not big enough. To overcome this problem, this paper use texture models to simulate texture in needed scale. MRF models and GLC models are introduced here and methods of parameters estimation. Another problem is that we must get the distribution of background. Here are two methods. The first one is image segmentation technology; the second one is geometric method .We introduce two image segmentation methods. One is based on MRF; another is based on features of deviation of four orientations. Linear regression and non-linear regression methods are used in performance evaluation data. Non-linear method used in this paper is multinomial. Subsection multinomial and b-spine methods are also introduced. The three methods have been used in evaluation system.