面向应用的航天遥感科学论证研究

发布时间：2018-04-18 22:28

本文选题：航天遥感系统 + 遥感论证　；参考：《遥感学报》2016年05期

【摘要】：为适应中国民用航天遥感从科学试验向业务服务模式转变,更好地探索、了解与解决应用需求与航天遥感系统对接等方面遇到的技术问题,促进航天遥感统筹协调可持续发展,中国适时于2004年成立了国家航天局航天遥感论证中心。10余年来,论证中心以航天遥感系统为研究对象,系统开展了面向应用的航天遥感科学论证概念、理论方法、技术工程与应用研究。本文是论证中心团队长期从事航天遥感科学论证研究与实践的系统总结,介绍了遥感论证初步认知、遥感论证关注问题、遥感论证理论体系与模型方法集、遥感论证能力建设及遥感论证实践等方面内容,给出了遥感论证定义并详细分析了研究范围和内容,提出了由知识维、进程维和逻辑维所组成的遥感论证作用域3维空间结构,指出社会发展加快和信息化水平提高,带动整个航天遥感数据信息链向更大规模、更短响应时间周期、更综合数据集成、更高数据质量、更加智能化方向发展,航天遥感系统将进入新的"智慧遥感"发展阶段。得益于十余年来中国民用航天快速发展,我们经历了风云三号新型载荷校飞、多角度多光谱偏振遥感器论证、环境星应用工程论证等实践,取得了多方面理论方法的突破,并应用到2030民用航天发展规划、高分辨率对地观测系统、国家自然灾害空间信息基础设施、国家民用空间基础设施中长期发展、2030中国综合地球观测系统规划等论证当中。经过不断实践,快速迭代,形成了遥感论证理论体系及相应的十大模型方法,包括遥感信息流模型、遥感信息特征模型、遥感信息应用模型、遥感信息量分析模型、遥感数据工程模型、航天遥感系统结构模型、航天遥感系统状态描述模型、航天遥感系统质量模型、航天遥感系统发展动力模型及能力体系模型。这些模型方法全面反映了航天遥感系统特征、结构、状态、发展动力、条件等,可广泛用于对航天遥感系统进行顶层设计、规划、考察、分析、评价、预测,并开展实践探索。
[Abstract]:In order to adapt to the transformation of China's civil space remote sensing from scientific experiment to operational service mode, to better explore, understand and solve the technical problems encountered in the connection between the application requirements and the space remote sensing system, and to promote the coordinated and sustainable development of space remote sensing,China established the Space remote Sensing demonstration Center of the National Space Administration (NASA) in 2004. For more than 10 years, the demonstration center took the space remote sensing system as the research object, and carried out the application-oriented scientific argumentation concept, theory and method of space remote sensing.Technical Engineering and Application Research.This paper is a systematic summary of the research and practice of scientific demonstration of space remote sensing by the demonstration center team for a long time. It introduces the preliminary cognition of remote sensing demonstration, the concern of remote sensing demonstration, the theory system and model method collection of remote sensing demonstration.In this paper, the definition of remote sensing argumentation is given, the research scope and content are analyzed in detail, and the three-dimensional spatial structure of remote sensing demonstration scope is put forward, which is composed of knowledge dimension, process dimension and logical dimension.It is pointed out that with the acceleration of social development and the improvement of information level, the whole space remote sensing data information chain will develop towards the direction of larger scale, shorter response time period, more comprehensive data integration, higher data quality and more intelligent.Space remote sensing system will enter a new stage of development of intelligent remote sensing.Thanks to the rapid development of civil space in China over the past decade or so, we have experienced practices such as the new Fengyun 3 payload calibration, multi-angle and multi-spectral polarization remote sensor demonstration, environmental satellite application engineering demonstration, and so on, and have achieved breakthroughs in various theoretical methods.It has been applied to the demonstration of 2030 civil space development plan, high resolution Earth observation system, national natural disaster spatial information infrastructure and the long-term development of national civil space infrastructure.Through continuous practice and rapid iteration, the theoretical system of remote sensing demonstration and the corresponding ten models are formed, including remote sensing information flow model, remote sensing information characteristic model, remote sensing information application model, remote sensing information quantity analysis model.Remote sensing data engineering model, space remote sensing system structure model, space remote sensing system state description model, space remote sensing system quality model, space remote sensing system development dynamic model and capability system model.These model methods reflect the characteristics, structure, state, development power and conditions of space remote sensing system, and can be widely used to design, plan, inspect, analyze, evaluate, predict and practice the space remote sensing system.
【作者单位】：国家航天局航天遥感论证中心;中国科学院遥感与数字地球研究所;国家航天局重大专项工程中心;
【基金】：民用航天预研项目我国卫星遥感应用需求和载荷指标综合论证地球表层系统科学研究应用示范系统(一期)高分重大专项(编号:Y4D00100GF) 基础信息产品生产算法集成研究高分重大专项(编号:Y4D0100038) 中国科学院战略先导专项(编号:Y1Y02230XD)~~
【分类号】：V443.5

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