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Design of Simulation Training System for Remote Sensing Large Data Processing of Natural Disasters

ABSTRACT Wang, Y.; Yang, L.; Zhao, L., and Deng, Y., 2018. Design of simulation training system for remote sensing large data processing of natural disasters. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 328–334. Coconut Creek (Florida), ISSN 0749-0208. Satellite monitoring is an important means of monitoring forest fire, it has the characteristics of aging fast, wide monitoring range. However, on the one hand,the operation of ground receiving equipment is so complex that can be only mastered by powerful training. On the other hand, the equipment is too expensive to meet so many trainers' requirement of actual operation. The simulation training system can solve this problem preferable. The system utilizes the virtual simulation technology to simulate the satellite monitoring in forest fire and complies with satellite orbiting around the earth, HD video capturing,image receiving, image storing,image decoding, fire identifing,fire alarm and so on.Combined with particle animation, skeletal animation and other technologies,it can achieve both static and dynamic, immersive effect.