一种地物关系约束下的线阵影像坐标反投影计算方法

doi:10.11947/j.AGCS.2017.20160622

测绘学报 ›› 2017, Vol. 46 ›› Issue (5): 583-592.doi: 10.11947/j.AGCS.2017.20160622

一种地物关系约束下的线阵影像坐标反投影计算方法

莫德林¹, 张永生¹, 王涛¹, 杨国鹏^2,3, 夏琴¹

1. 信息工程大学地理空间信息学院, 河南郑州 450001;
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. 解放军 95899 部队, 北京 100085

收稿日期:2016-12-09 修回日期:2017-03-01 出版日期:2017-05-20 发布日期:2017-06-05
作者简介:莫德林(1988-),男,博士生,研究方向为航空航天相机高精度几何处理技术。E-mail:steven.mo@whu.edu.cn
基金资助:
高分辨率对地观测系统重大专项（GFZX04032201-1-1）；对地观测技术国家测绘地理信息局重点实验室开放基金（K201508）

A Back Projection Algorithm for Linear Array Imageries Based on the Constraints of Object-space Relation

MO Delin¹, ZHANG Yongsheng¹, WANG Tao¹, YANG Guopeng^2,3, XIA Qin¹

1. Institute of Geographical Spatial Information, Information Engineering University, Zhengzhou 450001, China;
2. State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan 430079, China;
3. 95899 Troops, People's Liberation Army, Beijing 100085, China

Received:2016-12-09 Revised:2017-03-01 Online:2017-05-20 Published:2017-06-05
Supported by:
The National Major Projects of High Resolution Earth Observation System(No. GFZX04032201-1-1);The Open Foundation of the Key Laboratory of Mapping from Space, National Administration of Surveying, Mapping and Geoinformation(No. K201508)

摘要/Abstract

摘要： 坐标反投影计算是线阵影像基于严格模型几何校正的关键步骤。本文在分析线阵摆扫式影像的成像方式及其特点的基础上，针对传统基于像方的顺序或迭代搜索方法效率低下的问题，提出了一种利用地物关系约束的坐标反投影计算方法。首先将当前相邻点的最佳扫描行作为先验值，估算其与当前点最佳扫描行的距离，定位初始最佳扫描行；然后以初始最佳扫描行为中心构建搜索窗口，进行最佳扫描行精确搜索；最后根据最佳扫描行对应的外方位元素进行坐标反投影计算。通过对机载线阵摆扫式模拟影像数据和推扫式真实影像数据的试验，验证了该方法的可行性、准确性和高效性。

关键词: 反投影计算, 地物关系约束, 线阵摆扫, 最佳扫描线搜索

Abstract: Back projection is the key technology for rectification of linear array CCD imageries. On the basis of analyzing the imaging mode and characteristics of linear whiskbroom image, a back projection algorithm based on the constraints of object-space relation was proposed, aiming at the inefficiency of conventional image-based sequential or iterative search methods. The best scan-line of the adjacent point was used as a priori value, to estimate the number of the scan-lines between the adjacent point and the current point, thus locating the initial best scan-line. Then, a search window was constructed by the center of the initial best scan-line, and an accurate searching was implemented. At last, according to the orientation elements of the best scan-line, the coordinates back projection was carried out. The feasibility, accuracy and efficiency of the proposed method were verified by the experimental results of the airborne linear array whiskbroom simulated image data and the pushbroom real image data.

Key words: back projection, constraints of object-space relation, linear array whiskbroom, best scanline search

中图分类号:

P236

莫德林, 张永生, 王涛, 杨国鹏, 夏琴. 一种地物关系约束下的线阵影像坐标反投影计算方法[J]. 测绘学报, 2017, 46(5): 583-592.

MO Delin, ZHANG Yongsheng, WANG Tao, YANG Guopeng, XIA Qin. A Back Projection Algorithm for Linear Array Imageries Based on the Constraints of Object-space Relation[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(5): 583-592.

参考文献

[1] 范秀英, 鲍金河, 张勇.摆扫式TDI-CCD航空相机传感器MTF分析[J]. 光学技术, 2012, 38(5):634-637. FAN Xiuying, BAO Jinhe, ZHANG Yong. Analysis on Image Sensor MTF of Whiskbroom Scan TDI-CCD Aerial Camera[J]. Optical Technique, 2012, 38(5):634-637.
[2] 张艳, 王涛, 徐青, 等. 无人机载线阵摆扫CCD影像几何校正[J]. 测绘科学技术学报, 2006, 23(3):168-170. ZHANG Yan, WANG Tao, XU Qing, et al. Rectification for Linear Whiskbroom CCD Imagery Acquired on Pilotless Aircraft[J]. Journal of Zhengzhou Institute of Surveying and Mapping, 2006, 23(3):168-170.
[3] 王俊华, 庞怡杰, 王晶, 等. CCD相机中高空摆扫航摄数字图像的系统校正[J]. 地球信息科学, 2007, 9(5):105-109. WANG Junhua, PANG Yijie, WANG Jing, et al. The System Correction of Digital Image by CCD Camera of Whisk Broom Model in Middle-High Space[J]. Geo-Information Science, 2007, 9(5):105-109.
[4] 苗壮, 何斌, 王俊琦, 等. 空间相机摆扫成像建模及摆镜角速度残差分析[J]. 航天返回与遥感, 2015, 36(6):39-47. MIAO Zhuang, HE Bin, WANG Junqi, et al. Modeling of Space Camera for Whiskbroom Imaging and Analysis of Pendulum Mirror Angular Velocity Residual[J].Spacecraft Recovery & Remote Sensing, 2015, 36(6):39-47.
[5] CRAMER M. The ADS40 Vaihingen/Enz Geometric Performance Test[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 60(6):363-374.
[6] 赵双明, 李德仁. ADS40机载数字传感器平差数学模型及其试验[J]. 测绘学报, 2006, 35(4):342-346. DOI:10.3321/j.issn:1001-1595.2006.04.009. ZHAO Shuangming, LI Deren. Experimentation of Adjustment Math Model for ADS40 Sensor[J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(4):342-346. DOI:10.3321/j.issn:1001-1595.2006.04.009.
[7] 赵双明, 李德仁. ADS40影像几何预处理[J]. 武汉大学学报(信息科学版), 2006, 31(4):308-311. ZHAO Shuangming, LI Deren. Geometric Pre-Process of ADS40 Image[J]. Geomatics and Information Science of Wuhan University, 2006, 31(4):308-311.
[8] 刘军, 王冬红. 基于Level 0产品的ADS40正射影像快速生成[J]. 遥感学报, 2007, 11(2):247-251. LIU Jun, WANG Donghong. Efficient Orthoimage Generation from ADS40 Level 0 Products[J]. Journal of Remote Sensing, 2007, 11(2):247-251.
[9] 刘军, 张永生, 王冬红, 等. INS/DGPS支持的机载线阵推扫影像几何校正[J]. 遥感学报, 2006, 10(1):21-26. LIU Jun, ZHANG Yongsheng, WANG Donghong, et al. Geometric Rectification of Airborne Linear Array Pushbroom Imagery Supported by INS/DGPS System[J]. Journal of Remote Sensing, 2006, 10(1):21-26.
[10] 刘军. GPS/IMU辅助机载线阵CCD影像定位技术研究[D]. 郑州:信息工程大学, 2007:95-99. LIU Jun. A Study on the Positioning Theory of Airborne Line CCD Imagery Supported by GPS/IMU[D]. Zhengzhou:Information Engineering University, 2007:95-99.
[11] 王密, 胡芬, 王海涛. 一种基于物方几何约束的线阵推扫式影像坐标反投影计算的快速算法[J]. 测绘学报, 2008, 37(3):384-390. DOI:10.3321/j.issn:1001-1595.2008.03.020. WAND Mi, HU Fen, WAND Haitao. A Fast Algorithm for Back Project Calculation of Linear Array Pushbroom Imageries Based on Object-Space Geometric Constraint[J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(3):384-390. DOI:10.3321/j.issn:1001-1595.2008.03.020.
[12] WANG Mi, HU Fen, LI Jonathan, et al. A Fast Approach to Best Scanline Search of Airborne Linear Pushbroom Images[J]. Photogrammetric Engineering and Remote Sensing, 2009, 75(9):1059-1067.
[13] 耿迅, 徐青, 邢帅, 等. 基于最佳扫描行快速搜索策略的线阵推扫式影像微分纠正算法[J]. 测绘学报, 2013, 42(6):861-868. GENG Xun, XU Qing, XING Shuai, et al. Differential Rectification of Linear Pushbroom Imagery Based on the Fast Algorithm for Best Scan Line Searching[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(6):861-868.
[14] 刘波, 贾继强, 丁亚林, 等. 斜视航空相机的斜距离焦补偿[J]. 光学精密工程, 2014, 22(5):1274-1279. LIU Bo, JIA Jiqiang, DING Yalin, et al. Oblique Distance Defocus Compensation for Oblique Photographic Airborne Camera[J]. Optics and Precision Engineering, 2014, 22(5):1274-1279.
[15] LANGE D, IYENGAR M, MAVER L, et al. The Goodrich 3rd Generation DB-110 System:Successful Flight Test on the F-16 Aircraft[C]//Proceedings of SPIE 6546, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IV. Orlando, Florida:SPIE, 2007(6546):654607.
[16] 刘志明. 长焦距斜视航空相机图像拖影与扭曲补偿技术研究[D]. 长春:中国科学院研究生院(长春光学精密机械与物理研究所), 2014:13-14. LIU Zhiming. Research on Image Smear and Distortion Compensation in Long Focus Slope Aerial Camera[D]. Changchun:Chinese Academy of Sciences (Changchun Institute of Optics, Fine Mechanics and Physics), 2014.
[17] 田海英, 刘明. 基于扫描反射镜的航空相机前向像移补偿[J]. 光电工程, 2014, 41(9):20-24. TIAN Haiying, LIU Ming. The Forward Image Motion Compensating Scheme of Aerial Camera Based on Scanning Mirror[J]. Opto-Electronic Engineering, 2014, 41(9):20-24.
[18] 周前飞, 刘晶红, 居波, 等. 面阵CCD航空相机斜视图像的几何校正[J]. 液晶与显示, 2015, 30(3):505-513. ZHOU Qianfei, LIU Jinghong, JU Bo, et al. Geometric Correction of Oblique Images for Array CCD Aerial Cameras[J]. Chinese Journal of Liquid Crystals and Displays, 2015, 30(3):505-513.
[19] 杨飞, 金光, 曲宏松, 等. 航天时间延迟积分CCD相机摆扫成像快速几何校正设计与分析[J]. 光学学报, 2014, 34(1):75-81. YANG Fei, JIN Guang, QU Hongsong, et al. Design and Analysis about Rapid Geometric Correction of Space Whiskbroom Time Delayed and Integration CCD Camera[J]. Acta Optica Sinica, 2014, 34(1):75-81.
[20] PETRUSHEVSKY V, TSUR D. Condor TAC:EO/IR Tactical Aerial Reconnaissance Photography System[C]//Proceedings of SPIE 8360, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX. Baltimore, Maryland:SPIE, 2012(8360):836003.
[21] HE Yulan, XIAO Xiangguo, LI Yuan, et al. Optical System Design for the Aerial Camera with Dual Band, Common Optical Path, Long Focal, Oblique View and Focusing[C]//Proceedings of SPIE 9677, AOPC 2015:Optical Test, Measurement, and Equipment. Beijing, China:SPIE, 2015(9677):96771O.
[22] 苗壮, 何斌. 基于摆扫反射镜的大视场成像像移模型[J]. 计算机测量与控制, 2016, 24(2):242-246. MIAO Zhuang, HE Bin. Image Motion Model of Large Field of View Imaging Based on Swing Mirror[J]. Computer Measurement & Control, 2016, 24(2):242-246.
[23] 李福东. 航空远距离倾斜摄影相机扫描稳像及像移补偿技术研究[D]. 哈尔滨:哈尔滨工业大学, 2015. LI Fudong.Research on Scanning & Motion Compensation of Airborne Camera for Long Range Oblique Photography[D]. Harbin:Harbin Institute of Technology, 2015.
[24] HAN J Y, MARCHUK S, KIM H, et al. Imaging EO/IR Optical System for Long Range Oblique Photography[C]//Proceedings of SPIE 8020, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications Ⅷ. Orlando, Florida:SPIE, 2011, 8020:802009.
[25] HENRY D J. ISR Systems:Past, Present, and Future[C]//Proceedings of SPIE 9828, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications ⅩⅡ. Baltimore, Maryland:SPIE, 2016(9828):982802.

一种地物关系约束下的线阵影像坐标反投影计算方法

A Back Projection Algorithm for Linear Array Imageries Based on the Constraints of Object-space Relation

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