Title :
Research on Large-Scale Scene Infrared Simulation Based on Image Classification
Author :
Zou, Lamei ; Zhang, Tianxu ; Lv, Wei ; Ao, Guoqing
Author_Institution :
Nat. key Lab. of Sci. & Technol. on Multi-spectral Inf. Process. Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Vega has been widely used in Virtual Reality (VR) field. Vega infrared (IR) module can implement IR simulation, but Vega IR imaging simulation´s general approach does not apply to large-scale scene´s infrared simulation problem. This article deeps into large-scale scene IR image simulation through Vega infrared module based on visible image, the scene´s corresponding Digital Elevation Model (DEM) data and targets´ 3D model. A real time large-scale IR simulation system is successfully designed and realized in this paper. At the aspect of image classification, a coarse to fine k-means clustering method based on the consistency of image color is proposed. The proposed automatic texture material mapping method based on the development of Vega TMM tool provides a fast and convenient way for large-scale scene´s IR simulation based on Vega IR module. And finally, results of the large-scale scene infrared simulation show the effectiveness of this method.
Keywords :
digital elevation models; geophysical image processing; image classification; image colour analysis; image texture; infrared imaging; pattern clustering; virtual reality; 3D model; Vega IR imaging simulation; Vega TMM tool; Vega infrared module; automatic texture material mapping; digital elevation model; image classification; image color; k-means clustering; large-scale scene IR image simulation; real time large-scale IR simulation system; virtual reality; visible image;
Conference_Titel :
Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), 2011 International Workshop on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-9402-6
DOI :
10.1109/M2RSM.2011.5697423