SRTM约束的无地面控制立体影像区域网平差

周平; 唐新明; 曹宁; 王霞; 李国元; 张恒

doi:10.11947/j.AGCS.2016.20160219

测绘学报 >

2016 , Vol. 45 >Issue 11: 1318 - 1327

DOI: https://doi.org/10.11947/j.AGCS.2016.20160219

摄影测量学与遥感

SRTM约束的无地面控制立体影像区域网平差

周平 ,
唐新明 ,
曹宁 ,
王霞 ,
李国元 ,
张恒

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国家测绘地理信息局卫星测绘应用中心, 北京 100048

周平(1980-),男,博士,副研究员,研究方向为卫星遥感数据处理和三维地理信息系统。E-mail:zhoup@sasm.ac.cn

收稿日期: 2016-05-06

修回日期: 2016-08-30

网络出版日期: 2016-12-03

基金资助

国家国际科技合作专项（2014DFA21620）；高分遥感测绘应用示范系统（一期）（AH1601-11）；基础测绘科技项目（2016KJ0304）；国家自然科学基金青年科学基金（41601505）

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SRTM-aided Stereo Image Block Adjustment without Ground Control Points

ZHOU Ping ,
TANG Xinming ,
CAO Ning ,
WANG Xia ,
LI Guoyuan ,
ZHANG Heng

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Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100048, China

Received date: 2016-05-06

Revised date: 2016-08-30

Online published: 2016-12-03

Supported by

The International Science and Technology Cooperation Program of China (No.2014DFA21620); The Special Fund for High Resolution Images Surveying and Mapping Application System (No.AH1601-11); The Fundamental Surveying and Mapping Science and Technology Project (No.2016KJ0304); The National Science Foundation for Young Scientists of China (No.41601505)

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摘要

针对SRTM（shuttle radar topography mission）数据在平坦地形或局部区域的高程精度远远高于其标称精度的特点，研究设计了一种无地面控制条件下利用SRTM作为高程约束的立体区域网平差方法。通过构建一个较大范围区域网并匹配密集连接点，将SRTM作为连接点物方高程初值，并在平差解算过程中确保分布于地形平坦区域（根据经验，在该类区域SRTM精度较高）的连接点的物方高程严格趋近SRTM高程，最终实现大范围区域内影像高程精度的整体提升。通过以覆盖湖北省全境的资源三号卫星三线阵立体影像作为试验影像的试验验证表明，采用该平差方案，在无地面控制点条件下资源三号立体影像的高程中误差从7.2 m提升到2.0 m，其中地形平坦区域高程中误差1.44 m，山地区域高程中误差3.0 m，达到了我国1：25 000比例尺测图应用的高程精度要求。

关键词： SRTM; 有理函数模型; 立体影像; 区域网平差; 无地面控制

本文引用格式

周平 , 唐新明 , 曹宁 , 王霞 , 李国元 , 张恒 . SRTM约束的无地面控制立体影像区域网平差[J]. 测绘学报, 2016 , 45(11) : 1318 -1327 . DOI: 10.11947/j.AGCS.2016.20160219

Abstract

With regard to the feature that the vertical precision of SRTM(shuttle radar topography mission)data in the flat terrain area is much higher than its nominal precision, it is proposed that a stereo block adjustment algorithm without ground control by adopting SRTM data as elevation constraint. In order to improve overall vertical accuracy of the image, by constructing a wide local area network and setting intensive connecting points, SRTM is set as the initial vertical value of connecting points. In the process of adjustment calculation, ground height of connecting points distributing in the flat terrain area is made sure to rigorously approach to vertical accuracy of SRTM. Through the experiment employing ZY-3 triple linear array stereo satellite images cover across all of Hubei province, the verification results prove that the method is effective. The height root mean square errors(RMSEs)of ZY-3 stereo images is improved from 7.2 m to 2.0 m without ground control, and the RMSEs of flat areas and mountain areas improved to 1.44 m and 3.0 m respectively, which fulfills the elevation accuracy requirement of national 1:25 000 scale mapping applications.

Key words： SRTM; rational function model; stereo image; block adjustment; witout ground control points

参考文献

[1] TANG Xinming, ZHOU Ping, ZHANG Guo, et al. Verification of ZY-3 Satellite Imagery Geometric Accuracy without Ground Control Points[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(10): 2100-2104.
[2] TANG Xinming, ZHOU Ping, ZHANG Guo, et al. Geometric Accuracy Analysis Model of the Ziyuan-3 Satellite without GCPs[J]. Photogrammetric Engineering & Remote Sensing, 2015, 81(12): 927-934.
[3] TOUTIN T. Multisource Data Fusion with an Integrated and Unified Geometric Modelling[J]. EARSeL-Advances in Remote Sensing, 1995, 4(2): 118-129.
[4] POLI D. A Rigorous Model for Spaceborne Linear Array Sensors[J]. Photogrammetric Engineering & Remote Sensing, 2007, 73(2): 187-196.
[5] TEO T A. Bias Compensation in a Rigorous Sensor Model and Rational Function Model for High-resolution Satellite Images[J]. Photogrammetric Engineering & Remote Sensing, 2011, 77(12): 1211-1220.
[6] GRODECKI J, DIAL G. Block Adjustment of High-resolution Satellite Images Described by Rational Polynomials[J]. Photogrammetric Engineering & Remote Sensing, 2003, 69(1): 59-68.
[7] 张力, 张继贤, 陈向阳, 等. 基于有理多项式模型RFM的稀少控制SPOT-5卫星影像区域网平差[J]. 测绘学报, 2009, 38(4): 302-310. ZHANG Li, ZHANG Jixian, CHEN Xiangyang, et al. Block-adjustment with SPOT-5 Imagery and Sparse GCPs Based on RFM[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(4): 302-310.
[8] 唐新明, 张过, 祝小勇, 等. 资源三号测绘卫星三线阵成像几何模型构建与精度初步验证[J]. 测绘学报, 2012, 41(2): 191-198. TANG Xinming, ZHANG Guo, ZHU Xiaoyong, et al. Triple Linear-array Imaging Geometry Model of Ziyuan-3 Surveying Satellite and Its Validation[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(2): 191-198.
[9] ZHANG Yongjun, WAN Yi, HUANG Xinhui, et al. DEM-Assisted RFM Block Adjustment of Pushbroom Nadir Viewing HRS Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(2): 1025-1034.
[10] WANG Taoyang, ZHANG Guo, LI Deren, et al. Planar Block Adjustment and Orthorectification of ZY-3 Satellite Images[J]. Photogrammetric Engineering & Remote Sensing, 2014, 80(6): 559-570.
[11] 张浩, 张过, 蒋永华, 等. 以SRTM-DEM为控制的光学卫星遥感立体影像正射纠正[J]. 测绘学报, 2016, 45(3): 326-331. DOI:10.11947/j.AGCS.2016.20150358. ZHANG Hao, ZHANG Guo, JIANG Yonghua, et al. A SRTM-DEM-controlled Ortho-rectification Method for Optical Satellite Remote Sensing Stereo Images[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(3): 326-331.. DOI:10.11947/j.AGCS.2016.20150358.
[12] 王任享. 天绘一号卫星无地面控制点摄影测量关键技术及其发展历程[J]. 测绘科学, 2013, 38(1): 5-7, 43. WANG Renxiang. Key Photogrammetric Progress of TH-1 Satellite without Ground Control Point[J]. Science of Surveying and Mapping, 2013, 38(1): 5-7, 43.
[13] SUN G, RANSON K J, KHARUK V I, et al. Validation of Surface Height from Shuttle Radar Topography Mission Using Shuttle Laser Altimeter[J]. Remote Sensing of Environment, 2003, 88(4): 401-411.
[14] RODRÍGUEZ E, MORRIS C S, BELZ J E. A Global Assessment of the SRTM Performance[J]. Photogrammetric Engineering & Remote Sensing, 2006, 72(3): 249-260.
[15] BHANG K J, SCHWARTZ F W, BRAUN A. Verification of the Vertical Error in C-band SRTM DEM Using ICESat and Landsat-7, Otter Tail County, MN[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(1): 36-44.
[16] 杜小平, 郭华东, 范湘涛, 等. 基于ICESat/GLAS数据的中国典型区域SRTM与ASTER GDEM高程精度评价[J]. 地球科学——中国地质大学学报, 2013, 38(4): 887-897. DU Xiaoping, GUO Huadong, FAN Xiangtao, et al. Vertical Accuracy Assessment of SRTM and ASTER GDEM over Typical Regions of China Using ICESat/GLAS[J]. Earth Science:Journal of China University of Geosciences, 2013, 38(4): 887-897.
[17] FRASER C S, HANLEY H B. Bias-compensated RPCs for Sensor Orientation of High-resolution Satellite Imagery[J]. Photogrammetric Engineering & Remote Sensing, 2005, 71(8): 909-915.
[18] FRASER C S, DIAL G, GRODECKI J. Sensor Orientation via RPCs[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 60(3): 182-194.
[19] TAO C V, HU Y, JIANG W. Photogrammetric Exploitation of IKONOS Imagery for Mapping Applications[J]. International Journal of Remote Sensing, 2004, 25(14): 2833-2853.
[20] TONG Xiaohua, LIU Shijie, WENG Qihao. Bias-corrected Rational Polynomial Coefficients for High Accuracy Geo-positioning of QuickBird Stereo Imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(2): 218-226.
[21] 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. GB/T 12343.1-2008国家基本比例尺地图编绘规范第1部分: 1:25 000 1:50 000 1:100 000地形图编绘规范[S]. 北京: 中国标准出版社, 2008. State Administration of Quality Supervision, Inspection and Quarantine, People's Republic of China, China National Standardization Management Committee. GB/T 12343.1-2008 Compilation Specifications for National Fundamental Scale Maps-Part 1: Compilation Specifications for 1:25 000 1:50 000 1:100 000 Topographic Maps[S]. Beijing: Chinese Standard Publishing House, 2008.
[22] LEMOINE F G, KENYON S C, FACTOR J K, et al. The Development of the Joint NASA GSFC and the National Imagery and Mapping Agency (NIMA) Geopotential Model EGM96[R]. NASA/TP-1998-206861. Greenbelt, Maryland: Goddard Space Flight Center, 1998.
[23] 冯林刚, 杨润甫, 李胜. 基于EGM96的GPS高程转换方法[J]. 测绘通报, 2006(3): 22-23, 47. FENG Lingang, YANG Runfu, LI Sheng. EGM96 Based GPS Height Transform Method[J]. Bulletin of Surveying and Mapping, 2006(3): 22-23, 47.
[24] ZWALLY H J, SCHUTZ B, ABDALATI W, et al. ICESat's Laser Measurements of Polar Ice, Atmosphere, Ocean, and Land[J]. Journal of Geodynamics, 2002, 34(3-4): 405-445.
[25] LI Guoyuan, TANG Xinming, GAO Xiaoming, et al. ZY-3 Block Adjustment Supported by GLAS Laser Altimetry Data[J]. The Photogrammetric Record, 2016, 31(153): 88-107.

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