KEYWORDS: Image fusion, 3D image processing, Image sensors, Sensors, Data fusion, Image processing, Visualization, 3D modeling, Volume rendering, Video
Based on the analysis of the existing image and spatial data fusion methods, a new method of integrating real-time image and 3d digital map of photoelectric sensor in the airborne field is proposed. This method can realize the fusion of 2d photoelectric images into 3d terrain space, and the combination of real-time high resolution photoelectric images and digital maps can directly reconstruct the surrounding environment of the aircraft and reduce the workload of pilots, or facilitate the analysis process of intelligence analysts. It has certain application potential in precision strike field.
KEYWORDS: Visualization, Optoelectronics, 3D modeling, 3D image processing, Data modeling, Data fusion, Associative arrays, Visual process modeling, Data communications, Image processing
Introduces the image and spatial data fusion in photoelectric detection application. Focus on the optimization of 3D scene reconstruction. In airborne imaging applications, aiming at the problems of massive terrain data, this paper proposed a dynamic data scheduling strategy which is based on state-tree from simplification, and present a terrain data dynamic schedule framework from render optimization. For the suggested optimized procedure and framwork, give a experiment and couclusion based on programmimg, it prove that the suggested dynamic schedule strategy in this paper could fastly construct three-dimensional scene in flight simulation, could speed up the three-dimensional visulization, it could meet the practical requiremnet of engineering in flight simulation.
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