Laser altimetry data-aided satellite geometry model refined processing

  • role: First author第一作者
  • Affiliation:

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

  • Email:lzjt_michael@126.com
  • Introduction:曹宁,1988年生,男,工程师,研究方向为航空航天摄影测量处理。E-mail:lzjt_michael@126.com
Ning CAO,  
  • Affiliation:

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

Ping ZHOU,  
  • Affiliation:

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

Xia WANG,  
  • Affiliation:

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

Xinming TANG,  
  • Affiliation:

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

Guoyuan LI

résumé

ZiYuan3-02 (ZY3-02), which was launched on May 30, 2016, is the second satellite in the ZiYuan3 series and is mainly used for developing China’s civil space infrastructure. A laser altimeter, a core payload in ZY3-02, is China’s first earth observation laser altimeter experimental instrument. Evaluation accuracy is a crucial factor in stereoscopic mapping and is occasionally even more difficult to improve than a planar. In the conventional block adjustment combined with the increasing accuracy of laser altimeter data and the characteristics of laser altimetry data in the ZY3-02 satellite, in this study, we proposed a geometric imaging model refinement general theory of satellite stereo images aided with the laser altimeter data. First, high-precision tie point matching in the conventional block and free network adjustments without constraints were conducted to obtain a high-precision relative accuracy and absolute precision, which was not worse than that in the original imaging geometric model; second, in accordance with the 3D coordinates of the laser altimetry data and refined imaging geometric model of reference data, the reference image point coordinates could be acquired. These coordinates were used to map the target image point coordinates using the geometric model, and high-precision homonymous image points could be determined in the target images after a refinement process through the tie point matching algorithm; finally, the block adjustment with the homonymous points as elevation controls was performed to further process the imaging geometry model and compute high-precision compensation parameters. The experiments in Hubei and Qinghai showed that the elevation accuracy of the satellite geometry model refined by altimeter data can reach 1.97 and 3.23 m, correspondingly. The comparison experiments in Hubei and Xinjiang area presented with an obvious phenomenon wherein the system error became large given the weakening of the control strength. The abovementioned experiments demonstrate that the proposed method could effectively improve the accuracy of satellite stereo mapping. The application of the laser altimetry data was subject to the topographic relief. The laser altimetry data would become increasingly effective in a flat area but require a certain pre-process in mountainous areas before use. In practical applications, the laser data should be distributed evenly at no more than one track in the space interval.

mots-clés

ZY3-02 satellite;laser altimetry;geometry model refined;stereo images

References

  1. 1.
    Abshire J B, Sun X L, Riris H, Sirota J M, McGarry J F, Palm S, Yi D H and Liiva P. 2005. Geoscience Laser Altimeter System (GLAS) on the ICEsat Mission: on-orbit measurement performance. Geophysical Research Letters, 32(21): L21S02
  2. 2.
    Cao N. 2014. DEM-Aided Block Adjustment for Satellite Images with Weak Convergence Geometry. Lanzhou: Lanzhou Jiaotong University
  3. 3.
    Cao N, Zhang L and Du Q Y. 2014. DEM-aided block adjustment for satellite images with weak convergence geometry. Remote Sensing Information, 29(6): 21–24 (
  4. 4.
    Dial G and Grodecki J. 2002. Block adjustment with rational polynomial camera models//Proceeding of ASCM-ASPRS Annual Conventions. Washington, DC: [s.l.]
  5. 5.
    Gong D C and Zhang Y S. 2003. The solving and application of rational function model. Journal of Institute of Surveying and Mapping, 20(1): 39–42, 46 (
  6. 6.
    Grodecki J and Dial G. 2003. Block adjustment of high-resolution satellite images described by rational polynomials. Photogrammetric Engineering and Remote Sensing, 69(1): 59–68
  7. 7.
    Li G Y, Tang X M, Wang H B, Zhang C Y and Gao X M. 2014. Research on the ZY-3 block adjustment supported by the GLAS laser altimetry data//China High Resolution Earth Observation Conference. Beijing
  8. 8.
    Poli D. 2007. A rigorous model for spaceborne linear array sensors. Photogrammetric Engineering and Remote Sensing, 73(2): 187–196
  9. 9.
    Tang X M, Xie J F, Fu X K, Mo F, Li S N and Dou X H. 2017. ZY3-02 Laser Altimeter On-orbit Geometrical Calibration and Test. Acta Geodaetica et Cartographica Sinica, 46(6): 714–723 (
  10. 10.
    Tang X M, Zhou P, Zhang G, Wang X and Pan H B. 2015. Geometric accuracy analysis model of the Ziyuan-3 satellite without GCPs. Photogrammetric Engineering and Remote Sensing, 81(12): 927–934
  11. 11.
    Tao C V and Hu Y. 2001. A comprehensive study of the rational function model for photogrammetric processing. Photogrammetric Engineering and Remote Sensing, 67(12): 1347–1357
  12. 12.
    Teo T A. 2011. Bias compensation in a rigorous sensor model and rational function model for high-resolution satellite images. Photogrammetric Engineering and Remote Sensing, 77(12): 1211–1220
  13. 13.
    Teo T A, Chen L C, Liu C L, Tung Y C and Wu W Y. 2010. DEM-aided block adjustment for satellite images with weak convergence geometry. IEEE Transactions on Geoscience and Remote Sensing, 48(4): 1907–1918
  14. 14.
    Wang T Y, Zhang G, Li D R, Jiang W S, Tang X M and Liu X L. 2014. Comparison between Plane and stereo block adjustment for ZY-3 satellite images. Acta Geodaetica et Cartographica Sinica, 43(4): 389–395, 403 (
  15. 15.
    Wang X W, Cheng X, Gong P, Huang H B, Li Z and Li X W. 2011. Earth science applications of ICESat/GLAS: a review. International Journal of Remote Sensing, 32(23): 8837–8864
  16. 16.
    Wu B, Guo J, Zhang Y S, King B A, Li Z L and Chen Y Q. 2011. Integration of Chang’E-1 imagery and laser altimeter data for precision lunar topographic modeling. IEEE Transactions on Geoscience and Remote Sensing, 49(12): 4889–4903
  17. 17.
    Xie J F, Tang X M, Mo F, Li G Y, Zhu G B, Wang Z M, Fu X K, Gao X M and Dou X H. 2017. ZY3-02 laser altimeter footprint geolocation prediction. Sensors, 17(10): 2165
  18. 18.
    Yu Z Z, Hou X and Zhou C Y. 2013. Progress and current state of space-borne laser altimetry. Laser and Optoelectronics Progress, 50(2): 020006 (
  19. 19.
    Zhang Y J, Wan Y, Huang X H and Ling X. 2016. DEM-assisted RFM block adjustment of pushbroom nadir viewing HRS imagery. IEEE Transactions on Geoscience and Remote Sensing, 54(2): 1025–1034
  20. 20.
    Zhang Y J, Zheng M T, Xiong X D and Xiong J X. 2015. Multistrip bundle block adjustment of ZY-3 satellite imagery by rigorous sensor model without ground control point. IEEE Geoscience and Remote Sensing Letters, 12(4): 865–869
  21. 21.
    Zhao S M, Ran X Y, Fu J H and Guo Q Y. 2014. Combined adjustment of CE-1 stereo camera image and laser altimeter data. Acta Geodaetica et Cartographica Sinica, 43(12): 1224–1229 (
  22. 22.
    Zhou P, Tang X M, Cao N, Wang X, Li G Y and Zhang H. 2016. SRTM-aided stereo image block adjustment without ground control points. Acta Geodaetica et Cartographica Sinica, 45(11): 1318–1327 (

Lire l'article complet

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website