测绘学报 ›› 2021, Vol. 50 ›› Issue (8): 1068-1083.doi: 10.11947/j.AGCS.2021.20210079

• 智能化测绘 • 上一篇    下一篇

多源卫星影像的摄影测量遥感智能处理技术框架与初步实践

张永军1, 万一1, 史文中2, 张祖勋1, 李彦胜1, 季顺平1, 郭浩宇1, 李礼1   

  1. 1. 武汉大学遥感信息工程学院, 湖北 武汉 430079;
    2. 香港理工大学土地测量及地理资讯学系, 香港 999077
  • 收稿日期:2021-02-18 修回日期:2021-05-26 发布日期:2021-08-24
  • 通讯作者: 万一 E-mail:yi.wan@whu.edu.cn
  • 作者简介:张永军(1975-),男,博士,教授,主要研究方向为摄影测量与遥感。
  • 基金资助:
    国家自然科学基金重点项目(42030102);湖北省自然科学基金创新群体项目(2020CFA003)

Technical framework and preliminary practices of photogrammetric remote sensing intelligent processing of multi-source satellite images

ZHANG Yongjun1, WAN Yi1, SHI Wenzhong2, ZHANG Zuxun1, LI Yansheng1, JI Shunping1, GUO Haoyu1, LI Li1   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
    2. Department of Land Surveying and Geo-Informatics, the Hong Kong Polytechnic University, Hong Kong 999077, China
  • Received:2021-02-18 Revised:2021-05-26 Published:2021-08-24
  • Supported by:
    Key Program of the National Natural Science Foundation of China (No. 42030102), The Fund for Innovative Research Groups of the Hubei Natural Science Foundation (No. 2020CFA003)

摘要: 回顾并分析了摄影测量与遥感学科的发展历程,并针对大数据和智能化测绘新时代的多源遥感影像精准快速智能处理的迫切需求,本文提出摄影测量遥感的科学概念。全新的摄影测量遥感主要由摄影测量和遥感两个学科的交叉融合而形成,致力于研究解决同步探测被摄目标的几何位置、物理属性、语义信息和时序变化关系的理论方法及技术问题,其理论基础和支撑学科包括摄影测量、遥感、人工智能、大数据处理与高性能计算等,将突破目前摄影测量侧重几何处理、遥感侧重语义信息提取反演的相对独立现状和串行技术路线,通过几何模型与光谱辐射反射信息的深度交叉融合形成几何语义一体化处理机制。本文在阐述摄影测量遥感基本概念的基础上,初步探讨了其涉及的主要科学问题及相关研究应用领域,并以多源遥感卫星影像为例构建了一体化摄影测量遥感智能处理技术框架,通过语义信息提取与精准几何处理的交叉闭环融合,显著提升了高分辨率多源遥感卫星影像精准快速处理的自动化和智能化水平,多个应用实践初步验证了相关理论方法的正确性和有效性。

关键词: 摄影测量遥感, 多源卫星影像, 几何语义一体化智能处理, 摄影测量, 遥感, 人工智能

Abstract: The history and recent development of photogrammetry and remote sensing are reviewed and analyzed firstly. Then the novel concept of "photogrammetric remote sensing" is put forward to meet the needs of accurate and fast processing of multi-source remote sensing images in the new era of big data and intelligent surveying and mapping. The new photogrammetric remote sensing discipline is the deep integration of the frontier theories and technologies of photogrammetry and remote sensing, and concentrates on solving the theories and technologies about simultaneously determine the geometric positions, physical attributes, semantic information and temporal changes of interested scenes and objects. Its theoretical and fundamental basis are photogrammetry, remote sensing, artificial intelligence, big data processing, and high-performance computation, etc. It will break through the current isolated status and serial technical route that photogrammetry mainly focuses on geometric processing, while remote sensing mainly focuses on semantic information extraction and inversion. It forms an innovation of the closed-loop fusion of semantic extraction and geometric processing. A novel geometric-semantic integrated processing framework is formed through the deep fusion of geometric model and spectral radiative and reflective information. Based on the proposed concept of photogrammetric remote sensing, this paper discusses the main scientific problems and related research and application fields, and then attempts to build a new theoretical and technical framework of integrated intelligent photogrammetric remote sensing processing of multi-source satellite images. Closed-loop fusion of semantic information extraction and accurate geometric processing has significantly improved the level of accuracy, automation and intelligence. The correctness and effectiveness of the proposed theory and methods are preliminarily verified by several practical applications.

Key words: photogrammetric remote sensing, multi-source satellite images, integrated intelligent geometric-semantic processing, photogrammetry, remote sensing, artificial intelligence

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