从对地观测卫星到对地观测脑

发布时间：2019-06-14 08:24

【摘要】：21世纪以来,高分辨率对地观测卫星快速发展,对地观测系统由最初的单星模式发展为现在的轻小型卫星组建星座,实现了全天时、全天候、全方位的对地精细化观测。未来将对地观测卫星星座与通信卫星、导航卫星和飞机等空间节点通过动态组网,建立天基空间信息网络,以实现智能化空天信息的实时服务。为了进一步增强系统的智能化水平,提高系统感知、认知能力和应急响应能力,本文提出未来空间信息网络环境下对地观测脑(earth observation brain,EOB)的概念,对地观测脑是基于事件感知的智能化对地观测系统。详细介绍了对地观测脑的概念模型及需要解决的关键技术,举例说明了对地观测脑初级阶段的感知、认知过程。将来对地观测脑可以回答何时(when)、何地(where)、何目标(what object)发生了何种变化(what change),并在规定的时间(right time)和地点(right place)把这些正确的信息(right information)推送给需要的人(right people)的手机或其他智能终端,全球用户可实时获得所需的任何数据、信息和知识。
[Abstract]:Since the 21st century, high-resolution Earth observation satellites have developed rapidly, and the Earth observation system has developed from the original single-star model to the present light and small satellite constellation, which has realized all-day, all-weather and omni-directional fine observation of the earth. In the future, space nodes such as Earth observation satellite constellation and communication satellite, navigation satellite and aircraft will be established through dynamic networking to realize the real-time service of intelligent space-space information. In order to further enhance the intelligent level of the system and improve the system perception, cognitive ability and emergency response ability, this paper puts forward the concept of (earth observation brain,EOB (Earth observation brain) in the future spatial information network environment. The Earth observation brain is an intelligent Earth observation system based on event perception. The conceptual model of Earth observation brain and the key technologies to be solved are introduced in detail, and an example is given to illustrate the perception and cognitive process of the primary stage of Earth observation brain. In the future, Earth observation brain can answer when and where (where), where (what object) has changed (what change), and push this correct information (right information) to the mobile phone or other intelligent terminal of (right people) at the specified time and place (right place), so that users around the world can obtain any data, information and knowledge they need in real time.
【作者单位】：武汉大学测绘遥感信息工程国家重点实验室;地球空间信息协同创新中心;
【基金】：国家自然科学基金(41371430,91438203)~~
【分类号】：P228

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