高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法

龚健雅; 王密; 杨博

doi:10.11947/j.AGCS.2017.20170307

测绘学报 >

2017 , Vol. 46 >Issue 10: 1255 - 1261

DOI: https://doi.org/10.11947/j.AGCS.2017.20170307

院士论坛

高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法

龚健雅 ,
王密 ,
杨博

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1. 武汉大学遥感信息工程学院, 湖北武汉 430079;
2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079;
3. 武汉大学计算机学院, 湖北武汉 430072;
4. 地球空间信息协同创新中心, 湖北武汉 430079

龚健雅(1957-),男,教授,博士生导师,中国科学院院士,研究方向为GIS理论与技术,摄影测量与遥感。E-mail:gongjy@whu.edu.cn

收稿日期: 2017-06-13

修回日期: 2017-07-06

网络出版日期: 2017-10-26

基金资助

国家自然科学基金重点项目（91438203）

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High-precision Geometric Processing Theory and Method of High-resolution Optical Remote Sensing Satellite Imagery without GCP

GONG Jianya ,
WANG Mi ,
YANG Bo

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1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
3. School of Computer Science, Wuhan University, Wuhan 430072, China;
4. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China

Received date: 2017-06-13

Revised date: 2017-07-06

Online published: 2017-10-26

Supported by

The National Natural Science Foundation of China(No. 91438203)

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摘要

卫星影像全球无地面控制高精度几何定位是卫星摄影测量技术发展追求的主要目标，也是实现困难地区和境外地区测图的关键支撑技术。本文围绕我国国产遥感卫星的技术发展，详细论述了高分辨率光学卫星遥感影像高精度无地面控制几何定位的理论与方法，在天星地一体化全链路误差建模分析的基础上，提出了在轨几何定标理论与方法、稳态重成像几何处理模型与方法及大规模无地面控制区域网平差理论与方法。将本文方法应用于资源三号卫星影像的数据处理，试验结果满足1∶50 000测图精度，证明了理论和方法的正确性。

关键词： 高分辨率遥感影像; 高精度无地面控制几何处理; 在轨几何定标; 虚拟重成像; 大区域无地面控制整体平差; 资源三号

本文引用格式

龚健雅 , 王密 , 杨博 . 高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法[J]. 测绘学报, 2017 , 46(10) : 1255 -1261 . DOI: 10.11947/j.AGCS.2017.20170307

Abstract

Global high-precision geolocation of satellite imagery without GCP is the main goal of satellite photogrammetry,and the fundamental supporting technology of mapping in abroad area.For the developing technology of domestic remote sensing satellite,this paper presents the high-precision geometric processing theory and method of high-resolution optical remote sensing satellite imagery without GCP.Based on rigorous analysis of satellite observation error model,on-orbit geometric calibration method,virtual re-imaging processing method and large-scale block adjustment method are proposed.Experiments were conducted by using ZY-3 imagery.The result fulfills the demand of 1:50 000 mapping,and proves the correctness of proposed theory and method.

Key words： high-resolution remote sensing imagery; high-precision geometric processing without GCP; on-orbit geometric calibration; virtual re-imaging; large-area block adjustment without GCP; ZY-3

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