Block adjustment of satellite imagery with line-of-sight vector rectification

被引:0
|
作者
Wu Y. [1 ]
Zhang Y. [1 ]
Li K. [1 ]
Yu Y. [1 ]
Lai G. [1 ]
机构
[1] Institute of Geospatial Information, Information Engineering University, Zhengzhou
基金
中国国家自然科学基金;
关键词
Block adjustment; Line-of-sight vector; Mapping satellite; Non-mapping satellite; Rational function model;
D O I
10.11947/j.AGCS.2021.20190093
中图分类号
学科分类号
摘要
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. © 2021, Surveying and Mapping Press. All right reserved.
引用
收藏
页码:85 / 96
页数:11
相关论文
共 24 条
  • [1] FRASER C S, DIAL G, GRODECKI J., Sensor orientation via RPCs, ISPRS Journal of Photogrammetry and Remote Sensing, 60, 3, pp. 182-194, (2006)
  • [2] AGER T P., Evaluation of the geometric accuracy of Ikonos imagery, Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, pp. 613-620, (2003)
  • [3] AGUILAR M A, DEL MAR SALDANA M, AGUILAR F J., Assessing geometric accuracy of the orthorectification process from GeoEye-1 and WorldView-2 panchromatic images, International Journal of Applied Earth Observation and Geoinformation, 21, pp. 427-435, (2013)
  • [4] NOGUCHI M, FRASER C S, NAKAMURA T, Et al., Accuracy assessment of QuickBird stereo imagery, The Photogrammetric Record, 19, 106, pp. 128-137, (2004)
  • [5] LI Chuang, SHEN Yunzhong, LI Bofeng, Et al., An improved geopositioning model of QuickBird high-resolution satellite imagery by compensating spatial correlated errors, ISPRS Journal of Photogrammetry and Remote Sensing, 96, pp. 12-19, (2014)
  • [6] GRODECKI J, DIAL G., Block adjustment of high-resolution satellite images described by rational polynomials, Photogrammetric Engineering and Remote Sensing, 69, 1, pp. 59-68, (2003)
  • [7] LIU Jun, ZHANG Yongsheng, WANG Donghong, Precise positioning of high spatial resolution satellite images based on RPC models, Acta Geodaetica et Cartographica Sinica, 35, 1, pp. 30-34, (2006)
  • [8] TONG Xiaohua, LIU Shijie, WENG Qihao, Bias-corrected rational polynomial coefficients for high accuracy geo-positioning of QuickBird stereo imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 65, 2, pp. 218-226, (2010)
  • [9] HAN Jie, GU Xingfa, YU Tao, Et al., Block adjustment for ZY-3 satellite images based on RFM, Remote Sensing for Land and Resources, 25, 4, pp. 64-71, (2013)
  • [10] PAN Hongbo, ZHANG Guo, TANG Xinming, Et al., Accuracy analysis and verification of ZY-3 products, Acta Geodaetica et Cartographica Sinica, 42, 5, pp. 738-744, (2013)