公开DEM辅助无地面控制点国产卫星影像定位方法

陈小卫; 张保明; 张同刚; 郭海涛; 岑敏仪

doi:10.11947/j.AGCS.2016.20160317

测绘学报 >

2016 , Vol. 45 >Issue 11: 1361 - 1370

DOI: https://doi.org/10.11947/j.AGCS.2016.20160317

地图学与地理信息

公开DEM辅助无地面控制点国产卫星影像定位方法

陈小卫 ,
张保明 ,
张同刚 ,
郭海涛 ,
岑敏仪

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1. 信息工程大学地理空间信息学院, 河南郑州 450052;
2. 西南交通大学地球科学与环境工程学院, 四川成都 611756

陈小卫(1989-),男,博士生,研究方向为卫星影像无控定位、影像线特征匹配。E-mail:chenxw_2007@aliyun.com

收稿日期: 2016-06-23

修回日期: 2016-09-26

网络出版日期: 2016-12-03

基金资助

国家自然科学基金（41601507）；地理信息工程国家重点实验室开放基金（SKLGIE2015-M-3-3）

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Public DEM-assisted Positioning Method for Chinese Satellite Imagery without Ground Control Points

CHEN Xiaowei ,
ZHANG Baoming ,
ZHANG Tonggang ,
GUO Haitao ,
CEN Minyi

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1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;
2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Received date: 2016-06-23

Revised date: 2016-09-26

Online published: 2016-12-03

Supported by

The National Natural Science Foundation of China (No. 41601507); The Open Research Foundation of State Key Laboratory of Geo-information Engineering (No. SKLGIE2015-M-3-3)

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摘要

在全球测绘的背景下，为实现无地面控制点的卫星摄影测量，提出了利用公开DEM辅助国产卫星影像进行无控定位的方法。为充分利用公开DEM在大范围内具有一致稳定的高精度特性，将其作为基准与从影像中提取的待定位DEM进行表面匹配，匹配时采用引入截尾最小二乘估计的最小高差（LZD）法，并根据对应点高差的分布自适应探测及剔除DEM之间的差异；匹配确定的变换参数用于对直接定位结果进行物方改正。设计了多组针对天绘一号和资源三号国产卫星影像的对比试验，结果表明本方法切实可行，能充分利用基准DEM的优势，具有较好的稳健性；定位精度很大程度上取决于但不限于基准DEM的精度，基本不受其分辨率的影响；当待定位DEM分辨率较高时，单景影像利用SRTM DEM即可得到能较好满足1：5万比例尺地形图测制要求的无控定位精度。本方法还为卫星影像定位精度的检核提供了一种新的有效手段。

关键词： 全球测图; 无地面控制点定位; DEM辅助定位; DEM匹配; 截尾最小二乘估计; 高差分布函数

本文引用格式

陈小卫 , 张保明 , 张同刚 , 郭海涛 , 岑敏仪 . 公开DEM辅助无地面控制点国产卫星影像定位方法[J]. 测绘学报, 2016 , 45(11) : 1361 -1370 . DOI: 10.11947/j.AGCS.2016.20160317

Abstract

With the purpose of revolving the problem of photogrammetry without ground control points (GCPs) (referred to non-controlled positioning), a public DEM-assisted positioning method for Chinese satellite imagery without GCPs was proposed in the context of global mapping. To give full play to the characteristics of globally consistent, stable and high precision of public DEM, these data were regarded as reference data and matched with the DEM extracted from satellite imagery. Least Z-difference (LZD) method using least trimmed square (LTS) estimator was applied to match, and deformation between DEM is automatically detected and eliminated by analysis of the distribution of Z-difference. The correction parameters in object space which determined by DEM matching were applied to correct the direct positioning results. Multi-groups of comparative experiments for Mapping Satellite-1 and ZY-3 Satellite imagery were designed. Experimental results show that the proposed method is practical and feasible and has good robustness to gross error and deformation between surfaces, which can make full use of the advantages of the reference DEM. The positioning accuracy greatly depends on but not limited to the accuracy of public DEM and hardly affected by its resolution. Assisted by SRTM DEM, single imagery can realize high positioning accuracy without GCPs, which can meet the mapping standard of 1:50,000 scale. This method also provides a new and effective means for positioning accuracy inspection of satellite imagery.

Key words： global mapping; positioning without ground control point; positioning assisted by DEM; DEM matching; least trimmed squares estimator; distribution function of height difference

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