| 地表异常遥感探测与即时诊断方法研究框架 |
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| 引用本文： | 王桥.地表异常遥感探测与即时诊断方法研究框架[J].测绘学报,2022,51(7):1141-1152. |
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| 作者姓名： | 王桥 |
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| 作者单位： | 北京师范大学, 北京 100091 |
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| 基金项目： | 国家自然科学基金重大项目(42192580) |
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| 摘 要： | 由自然和人为因素引起的各类地表异常具有突发性、多样性、随机性和复杂性,导致传统的卫星遥感探测时效严重滞后于地表异常预警和应急处置的实际需要,地表异常实时化、智能化遥感探测已成为我国新时代社会与经济高质量发展的重大战略需求,也是当前遥感科学发展面临的重大技术挑战。本文在分析地表异常遥感即时探测面临的技术挑战及其研究的必要性基础上,围绕解决地表异常遥感探测“看不到、看不清、看不快”技术瓶颈背后的科学问题,从卫星、载荷、应用三位一体的新视角,提出以“通导遥”一体化、星上在轨处理、星地互馈机器学习等为代表的地表异常遥感即时探测机理与方法研究思路,构建包括地表异常遥感响应特征与语义表征、地表异常超大动态范围自适应即时遥感探测、地表异常遥感在轨即时诊断、地表异常遥感预警知识即时生成与表达等在内的地表异常遥感即时探测研究框架,为深入开展地表异常遥感即时探测机理与方法研究提供科学方案,为实现直到用户移动终端的地表异常遥感监测预警产品即时服务提供技术体系框架。
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| 关 键 词： | 地表异常 遥感机理 遥感即时探测 |
| 收稿时间： | 2022-02-24 |
| 修稿时间： | 2022-04-14 |
Research framework of remote sensing monitoring and real-time diagnosis of earth surface anomalies |
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| WANG Qiao.Research framework of remote sensing monitoring and real-time diagnosis of earth surface anomalies[J].Acta Geodaetica et Cartographica Sinica,2022,51(7):1141-1152. |
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| Authors: | WANG Qiao |
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| Institution: | Beijing Normal University, Beijing 100091, China |
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| Abstract: | Due to the abruptness, diversity, randomness and complexity of all kinds of earth surface anomalies caused by natural and human factors, the time-effectiveness of traditional satellite remote sensing is seriously lagging behind the actual needs of earth surface anomaly warning and emergency treatment. Real-time and intelligent remote sensing monitoring of earth surface anomalies has become an important strategic demand for high-quality social and economic development in China in the new era, and also a major technical challenge for the development of remote sensing science. Based on the analysis of the technical challenges and the necessity of research on the real-time remote sensing monitoring of earth surface anomalies, this paper focuses on solving the scientific problems behind the technical bottleneck of "not being able to see, not being able to see clearly and not being able to see quickly" in remote sensing monitoring of earth surface anomalies. From a new perspective of the trinity of satellite, payload and application, a series of new ideas on real-time monitoring of surface anomalies by the integration of "communication-navigation-remote sensing", on-orbit processing and satellite-earth reciprocal feeding machine learning have been put forward. A research framework for real-time remote sensing monitoring of earth surface anomalies is proposed, which consists of remote sensing response characteristics and semantic characterization of earth surface anomalies, adaptive real-time remote sensing monitoring of large dynamic range, real-time remote sensing detection in orbit, and real-time generation and expression of remote sensing early warning knowledge, these studies provide a scientific scheme for in-depth research on the mechanism and method of real-time monitoring of earth surface anomalies by remote sensing, and provide a the technical system framework for realizing real-time service of remote sensing monitoring and early warning products for earth surface anomalies up to the user's mobile terminal. |
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