吴田军, 骆剑承, 赵馨, 李曼嘉, 张新, 董文, 郜丽静, 王玲玉, 杨颖频, 赵伟. 精准地理应用驱动的高分遥感协同计算研究[J]. 武汉大学学报 ( 信息科学版), 2022, 47(8): 1220-1235. DOI: 10.13203/j.whugis20220335
引用本文: 吴田军, 骆剑承, 赵馨, 李曼嘉, 张新, 董文, 郜丽静, 王玲玉, 杨颖频, 赵伟. 精准地理应用驱动的高分遥感协同计算研究[J]. 武汉大学学报 ( 信息科学版), 2022, 47(8): 1220-1235. DOI: 10.13203/j.whugis20220335
WU Tianjun, LUO Jiancheng, ZHAO Xin, LI Manjia, ZHANG Xin, DONG Wen, GAO Lijing, WANG Lingyu, YANG Yingpin, ZHAO Wei. Collaborative Computing of High-Resolution Remote Sensing Driven by Fine-Accurate Geographic Applications[J]. Geomatics and Information Science of Wuhan University, 2022, 47(8): 1220-1235. DOI: 10.13203/j.whugis20220335
Citation: WU Tianjun, LUO Jiancheng, ZHAO Xin, LI Manjia, ZHANG Xin, DONG Wen, GAO Lijing, WANG Lingyu, YANG Yingpin, ZHAO Wei. Collaborative Computing of High-Resolution Remote Sensing Driven by Fine-Accurate Geographic Applications[J]. Geomatics and Information Science of Wuhan University, 2022, 47(8): 1220-1235. DOI: 10.13203/j.whugis20220335

精准地理应用驱动的高分遥感协同计算研究

Collaborative Computing of High-Resolution Remote Sensing Driven by Fine-Accurate Geographic Applications

  • 摘要: 高分遥感智能解译是实现地理信息精细生成与快速更新的重要途径,从基于遥感开展精准地理应用的背景出发,解析了遥感信息产品生产与落地应用中的局限性,阐释了遥感回归地理应用问题的必要性以及其中“精(形态)”“准(内容)”图谱特征耦合的关键性。以地理学指导智能遥感研究为基本认识,提出了基于精细地理场景开展高分辨率遥感地学分析的发展方向和技术思路,以及时空/星地两个层面相协同的智能计算模式,并以中国贵州省关岭县石漠化耕地评价为应用案例,利用分区分层感知/时空协同反演/多粒度决策3个基础模型,在复杂山地区开展精准应用驱动的高分遥感协同计算。结合实验结果,通过对不规则网格空间表达、时序特征多模态重建、多源不确定性解析以及不确定性引导的迭代优化等关键科学问题的探讨分析,给出面向未来的探索方向和研究思路,为地理学指导下的智能遥感研究以及遥感支撑的精准地理应用提出发展路径。

     

    Abstract:
      Objectives  Intelligent interpretation based on high-resolution remote sensing is an important way to realize the fine generation and rapid update of geographic information. Based on the background of fine-accurate geographical application using remote sensing, this paper analyzes the limitations of remote sensing information products in production and application. We explain the necessity of remote sensing serving geographical research and the key of coupling the fine shape of the map and the accurate content of the spectrum.
      Methods  Based on the basic understanding that geography guides the research of intelligent remote sensing, we first put forward the development direction and technical ideas of high-resolution remote sensing geoscience analysis based on fine geographical scenes. Then, we propose an intelligent computing mode via the space-time/satellite-ground collaboration. Furthermore, we take the evaluation of rocky desertification cultivated land in Guanling County, Guizhou Province, China as an application case.
      Results  Through this case study, three basic models, namely zoning-stratified perception, spatiotemporal synergistically inversion and multi-granular decision-making, are used to show how to carry out fine-accurate application by high-resolution remote sensing collaborative computing in complex mountain areas from a comprehensive perspective of refinement, quantification and topicalization.
      Conclusions  Combined with the previous work experience and practical cognition, several key scientific problems are discussed, such as spatial expression using irregular grids, multimodal reconstruction of temporal features, multi-source uncertainty analysis and iterative optimization guided by uncertainty. We give some potential study directions and research ideas in order to establish a more complete and feasible theoretical system and explore the development paths for the research on intelligent remote sensing under the guidance of geography and the fine-accurate geographical application with remote sensing data.

     

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