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4 May 2019 Design of Simulation Training System for Remote Sensing Large Data Processing of Natural Disasters
Ying Wang, Liu Yang, Lan Zhao, Yuanyuan Deng
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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.

©Coastal Education and Research Foundation, Inc. 2018
Ying Wang, Liu Yang, Lan Zhao, and Yuanyuan Deng "Design of Simulation Training System for Remote Sensing Large Data Processing of Natural Disasters," Journal of Coastal Research 83(sp1), 328-334, (4 May 2019).
Received: 22 October 2017; Accepted: 15 February 2018; Published: 4 May 2019
3D training
big data
natural disaster
satellite monitoring
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