附加视线向量修正的卫星影像区域网平差

doi:10.11947/j.AGCS.2021.20190093

摘要/Abstract

摘要： 针对传统有理函数模型（RFM）区域网平差方法局限于姿态和轨道测量误差小、相机视场角小及影像交会角良好的情况，提出了附加视线向量修正的卫星影像区域网平差方法。首先利用影像附带的有理多项式系数（RPC）计算出像元视线向量，其次根据该视线向量恢复成像时刻虚拟位置和姿态信息，然后对恢复的虚拟位置和姿态构建误差补偿模型，最后通过最小二乘方法整体解算模型参数和连接点物方坐标。该方法从系统误差产生的原因构建补偿模型，可以规避传统区域网平差方法的近似假设和条件限制。通过对模拟数据以及多套测绘卫星和非测绘卫星数据进行试验的结果表明，该方法处理大姿态角误差、大视场角以及弱交会角等各种严苛条件下的卫星影像能达到比传统方法更好的效果。

关键词: 有理函数模型, 区域网平差, 视线向量, 测绘卫星, 非测绘卫星

Abstract: Considering the traditional bundle block adjustment of rational function model is highly constrained by small error of attitude and orbit, narrow field camera and good image intersection angle, a block adjustment method of satellite imagery based on line-of-sight vector rectification was presented. Firstly, the light ray of an image point is calculated by using the rational polynomial coefficients attached to the image, and then the pseudo orbit and attitude of sensor is restored when the point was acquired, then an error compensation model is constructed for the virtual orbit and attitude, and finally the model parameters and object coordinates of tie points are solved simultaneously by the least square method. As the compensation model is modelled from the reason of system errors, it can avoid approximation assumptions and constraints of traditional strategy. Several comparative experiments of simulation data, mapping satellite and non-mapping satellite data are designed. The results show that this algorithm can achieve higher accuracy than the traditional method under various severe conditions such as images with large attitude angle error, large field angle and weak intersection angle.

Key words: rational function model, block adjustment, line-of-sight vector, mapping satellite, non-mapping satellite

中图分类号:

P237

伍洋, 张永生, 李凯, 于英, 赖广陵. 附加视线向量修正的卫星影像区域网平差[J]. 测绘学报, 2021, 50(1): 85-96.

WU Yang, ZHANG Yongsheng, LI Kai, YU Ying, LAI Guangling. Block adjustment of satellite imagery with line-of-sight vector rectification[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(1): 85-96.

参考文献

[1] FRASER C S, DIAL G, GRODECKI J. Sensor orientation via RPCs[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 60(3):182-194.
[2] AGER T P. Evaluation of the geometric accuracy of Ikonos imagery[C]//Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX. Orlando, Florida, United States:SPIE, 2003:613-620.
[3] AGUILAR M A, DEL MAR SALDAÑA M, AGUILAR F J. Assessing geometric accuracy of the orthorectification process from GeoEye-1 and WorldView-2 panchromatic images[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 21:427-435.
[4] NOGUCHI M, FRASER C S, NAKAMURA T, et al. Accuracy assessment of QuickBird stereo imagery[J]. The Photogrammetric Record, 2004, 19(106):128-137.
[5] LI Chuang, SHEN Yunzhong, LI Bofeng, et al. An improved geopositioning model of QuickBird high-resolution satellite imagery by compensating spatial correlated errors[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 96:12-19.
[6] GRODECKI J, DIAL G. Block adjustment of high-resolution satellite images described by rational polynomials[J]. Photogrammetric Engineering and Remote Sensing, 2003, 69(1):59-68.
[7] 刘军, 张永生, 王冬红. 基于RPC模型的高分辨率卫星影像精确定位[J]. 测绘学报, 2006, 35(1):30-34. DOI:10.3321/j.issn:1001-1595.2006.01.007. LIU Jun, ZHANG Yongsheng, WANG Donghong. Precise positioning of high spatial resolution satellite images based on RPC models[J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(1):30-34. DOI:10.3321/j.issn:1001-1595.2006.01.007.
[8] 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.
[9] 韩杰, 顾行发, 余涛, 等. 基于RFM的ZY-3卫星影像区域网平差研究[J]. 国土资源遥感, 2013, 25(4):64-71. HAN Jie, GU Xingfa, YU Tao, et al. Block adjustment for ZY-3 satellite images based on RFM[J]. Remote Sensing for Land and Resources, 2013, 25(4):64-71.
[10] 潘红播, 张过, 唐新明, 等. 资源三号测绘卫星影像产品精度分析与验证[J]. 测绘学报, 2013, 42(5):738-744, 751. PAN Hongbo, ZHANG Guo, TANG Xinming, et al. Accuracy analysis and verification of ZY-3 products[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(5):738-744, 751.
[11] TEO T A. Bias compensation in a rigorous sensor model and rational function model for high-resolution satellite images[J]. Photogrammetric Engineering and Remote Sensing, 2011, 77(12):1211-1220.
[12] FRASER C S, YAMAKAWA T. Insights into the affine model for high-resolution satellite sensor orientation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2004, 58(5-6):275-288.
[13] HANLEY H B, FRASER C S. Sensor orientation for high-resolution satellite imagery:further insights into bias-compensated RPCs[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2004, 35(B1):24-29.
[14] 曹金山, 马红利. 资源三号影像对地目标定位的系统误差补偿[J]. 测绘科学, 2015, 40(9):3-8. CAO Jinshan, MA Hongli. Systematic error compensation for object positioning of ZY-3 images[J]. Science of Surveying and Mapping, 2015, 40(9):3-8.
[15] JIANG Yonghua, ZHANG Guo, CNEN Peng, et al. Systematic error compensation based on a rational function model for Ziyuan1-02C[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(7):3985-3995.
[16] SHEN Xiang, LIU Bin, LI Qingquan. Correcting bias in the rational polynomial coefficients of satellite imagery using thin-plate smoothing splines[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 125:125-131.
[17] DI Kaichang, MA Ruijin, LI Rongxing. Rational functions and potential for rigorous sensor model recovery[J]. Photogrammetric Engineering & Remote Sensing, 2003, 69(1):33-41.
[18] 童小华, 刘世杰. 高分辨率卫星影像物理模型与有理函数模型转换[J]. 中国科技论文在线, 2008, 3(11):793-800. TONG Xiaohua, LIU Shijie. Rational polynomial coefficients generation and physical sensor model recovery for high resolution satellite stereo imagery[J]. Sciencepaper Online, 2008, 3(11):793-800.
[19] 李海鸿, 曹辉, 施俊. 高分辨率光学卫星影像高精度定位技术与实践[J]. 地理空间信息, 2018, 16(5):1-8. LI Haihong, CAO Hui, SHI Jun. High-precision orientation algorithms of high-resolution satellite imagery[J]. Geospatial Information, 2018, 16(5):1-8.
[20] HUANG Wenchao, ZHANG Guo, LI Deren. Robust approach for recovery of rigorous sensor model using rational function model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7):4355-4361.
[21] 黄文超. 基础遥感产品系统误差补偿方法研究[D]. 武汉:武汉大学, 2016. HUANG Wenchao. Research on compensation for system errors of basic satellite products[D]. Wuhan:Wuhan University, 2016.
[22] 汪韬阳, 张过, 李德仁, 等. 资源三号测绘卫星影像平面和立体区域网平差比较[J]. 测绘学报, 2014, 43(4):389-395, 403. DOI:10.13485/j.cnki.11-2089.2014.0058. WANG Taoyang, ZHANG Guo, LI Deren, et al. Comparison between plane and stereo block adjustment for ZY-3 satellite images[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(4):389-395, 403. DOI:10.13485/j.cnki.11-2089.2014.0058.
[23] TEO T A, CHEN L C, LIU C L, et al. DEM-aided block adjustment for satellite images with weak convergence geometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4):1907-1918.
[24] CHENG C Q, ZHANG J X, HUANG G M. RFM-based block adjustment for spaceborne images with weak convergent geometry[J]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, XL-7/W4:1-6.