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Principle and method of GF-7 satellite integrated processing of stereo image and laser data

  • role： First author第一作者
  • Affiliation：

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of P.R. China, Beijing 100048, China

  • Email：zhoup@lasmac.cn
  • Introduction：周平，研究方向为航天数据处理。E-mail： zhoup@lasmac.cn
ZHOU Ping,  
  • role： Corresponding author通信作者
  • Affiliation：

    Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of P.R. China, Beijing 100048, China

  • Email：txm@lasmac.cn
  • Introduction：唐新明，研究方向为自然资源卫星遥感。E-mail： txm@lasmac.cn
TANG Xinming*

resumen

The GF-7 satellite is the world’s first Earth observation satellite synchronously equipped with an optical stereo camera and an operational laser altimeter, which can simultaneously obtain submeter resolution dual linear-array stereo images and sparse ground Laser Altimetry Points (LAPs). LAPs can be used for improving the elevation accuracy of stereo images to ensure that the GF-7 satellite can be applied to the global 1:10,000-scale stereo mapping. On the basis of the error propagation principle of the working processes of satellite cameras and laser altimeter, the basic principles of improving the elevation accuracy of stereo images by utilizing LAPs was first analyzed in this study. Then, an integrated processing method of GF-7 satellite stereo images and LAPs, including the construction of precise measurement method of LAPs on stereo images and the combined block adjustment model of LAPs and stereo images, was designed. Finally, the elevation accuracy of the stereo images was effectively improved. A total of 70 stereo images and 463 LAPs of the GF-7 satellite in the northern region of Hebei Province, China, were selected to conduct integrated processing experiments. Results show that the vertical Root Mean Square Error (RMSE) of stereo images in the flat, hilly, mountainous, high-mountainous, and entire regions was reduced from the original 3.0, 4.68, 2.86, 2.48, and 3.19 m to 0.35, 0.66, 0.74, 0.91, and 0.68 m, respectively, and the horizontal RMSE of stereo images was 4.99, 3.52, 4.42, 5.99, and 4.82 m, respectively. These results reveal that the horizontal and vertical accuracy of the GF-7 stereo images satisfied the accuracy requirements of China's 1∶10,000-scale mapping. At present, the integrated processing software system of GF-7 satellite stereo images and LAPs constructed by the method described in this study has achieved business application, which is vital for the future construction of global 1∶10000-scale geographical information resources.

palabra clave

remote sensing;GF-7 satellite;stereo images;Laser altimetry point;Integrated processing;1∶10000-scale mapping

References

  1. 1.
    Cao N, Zhou P, Wang X, Tang X M and Li G Y. 2018. Refined processing of laser altimeter data-aided satellite geometry model. Journal of Remote Sensing (in Chinese), 22(4): 599-610
  2. 2.
    E D C, Shen Q, Xu Y and Chen G. 2009. High-accuracy topographical information extraction based on fusion of ASTER stereo-data and ICESat/GLAS data in Antarctica. Science in China Series D: Earth Sciences, 52(5): 714-722
  3. 3.
    Fraser C S and Yamakawa T. 2004. Insights into the affine model for high-resolution satellite sensor orientation. ISPRS Journal of Photogrammetry and Remote Sensing, 58(5/6): 275-288
  4. 4.
    Fricker H A, Ridgway J R, Minster J B, Yi D H and Bentley C R. 2012. The Algorithm Theoretical Basis Document for Tidal Corrections. NASA Goddard Space Flight Center
  5. 5.
    Gruen A W. 1985. Adaptive least squares correlation: a powerful image matching technique. South African Journal of Photogrammetry, Remote Sensing and Cartography, 14(3): 175-187
  6. 6.
    Herring T A and Quinn K J. 2012. The Algorithm Theoretical Basis Document for the Atmospheric Delay Correction to GLAS Laser Altimeter Ranges. NASA Goddard Space Flight Center
  7. 7.
    Hofton M A, Minster J B and Blair J B. 2000. Decomposition of laser altimeter waveforms. IEEE Transactions on Geoscience and Remote Sensing, 38(4): 1989-1996
  8. 8.
    Jiang Y H, Zhang G, Tang X M, Li D R, Huang W C and Pan H B. 2014. Geometric calibration and accuracy assessment of ZiYuan-3 multispectral images. IEEE Transactions on Geoscience and Remote Sensing, 52(7): 4161-4172
  9. 9.
    Li G Y. 2017. Earth Observing Satellite Laser Altimeter Data Processing Method and Engineer Practice. Wuhan: Wuhan University: 38-53
  10. 10.
    Li G Y, Tang X M, Chen J Y, Yao J Q, Liu Z, Gao X M, Zuo Z Q and Zhou X Q. 2021. Processing and preliminary accuracy validation of the GF-7 satellite laser altimetry data. Acta Geodaetica et Cartographica Sinica, 50(10): 1338-1348
  11. 11.
    Li G Y, Tang X M, Gao X M, Wang H B and Wang Y. 2016. ZY-3 Block adjustment supported by glas laser altimetry data. The Photogrammetric Record, 31(153): 88-107
  12. 12.
    Li G Y, Tang X M, Gao X M, Wang X, Fan W F, Chen J Y and Mo F. 2018. Integration of ZY3-02 satellite laser altimetry data and stereo images for high-accuracy mapping. Photogrammetric Engineering and Remote Sensing, 84(9): 569-578
  13. 13.
    Lowe D G. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2): 91-110
  14. 14.
    National Bureau of Surveying, Mapping and Geoinformation. 2014. CH/T 9009.1-2013 Digital products of fundamental geographic information—1∶5000 1∶10000 1∶25000 1∶50000 1∶100000—Part 1: digital line graphs. Beijing: Surveying and Mapping Press
  15. 15.
    Neumann T A, Martino A J, Markus T, Bae S, Bock M R, Brenner A C, Brunt K M, Cavanaugh J, Fernandes S T, Hancock D W, Harbeck K, Lee J, Kurtz N T, Luers P J, Luthcke S B, Magruder L, Pennington T A, Ramos-Izquierdo L, Rebold T, Skoog J and Thomas T C. 2019. The Ice, Cloud, and Land Elevation Satellite-2 mission: a global geolocated photon product derived from the Advanced Topographic Laser Altimeter System. Remote Sensing of Environment, 233: 111325
  16. 16.
    Schutz B E, Zwally H J, Shuman C A, Hancock D and DiMarzio J P. 2005. Overview of the ICESat mission. Geophysical Research Letters, 32(21): L21S01
  17. 17.
    Takaku J, Tadono T and Tsutsui K. 2014. Algorithm development of high resolution global DSM generation by ALOS prism//Proceedings of 2014 IEEE Geoscience and Remote Sensing Symposium. Quebec City: IEEE: 4784-4787
  18. 18.
    Tang X M, Xie J F, Mo F, Dou X H, Li X, Li S N, Li S, Huang G H, Fu X K, Liu R, Zhu G B, Ouyang S D, Tang H Z and Chen H. 2021. GF-7 dual-beam laser altimeter on-orbit geometric calibration and test verification. Acta Geodaetica et Cartographica Sinica, 50(3): 384-395
  19. 19.
    Tang X M, Zhou P, Zhang G and Wang X. 2014. Research on a production method of sensor corrected products for ZY-3 satellite. Geomatics and Information Science of Wuhan University, 39(3): 287-294
  20. 20.
    Wang Z Z. 1979. The Principle of Photogrammetry. Beijing: Surveying and Mapping Press
  21. 21.
    Xie J F, Huang G H, Liu R, Zhao C G, Dai J, Jin T Y, Mo F, Zhen Y, Xi S L, Tang H Z, Dou X H and Yang C C. 2020. Design and data processing of China's first spaceborne laser altimeter system for earth observation: GaoFen-7. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13: 1034-1044
  22. 22.
    Xie J F, Tang X M, Mo F, Tang H Z, Wang Z M, Wang X, Liu Y X, Tian S Q, Liu R and Xia X F. 2018. In-orbit geometric calibration and experimental verification of the ZY3-02 laser altimeter. The Photogrammetric Record, 33(163): 341-362
  23. 23.
    Yao J Q, Li G Y, Chen J Y, Huang G H, Yang X D and Zhang S T. 2021. Cloud detection and centroid extraction of laser footprint image of GF-7 satellite laser altimetry. Journal of Geodesy and Geoinformation Science, 4(3): 1-12
  24. 24.
    Yoon J S and Shan J. 2005. Combined adjustment of MOC stereo imagery and MOLA altimetry data. Photogrammetric Engineering and Remote Sensing, 71(10): 1179-1186
  25. 25.
    Zhang G, Xu K, Jia P, Hao X Y and Li D R. 2019. Integrating stereo images and laser altimeter data of the ZY3-02 satellite for improved earth topographic modeling. Remote Sensing, 11(20): 2453
  26. 26.
    Zhou P. 2016. Key Technology of High Precision Geometric Processing and Evaluation of Mapping Efficiency for ZY-3 Remote Sensing Image. Wuhan: Wuhan University
  27. 27.
    Zhou P, Tang X M, Wang X, Liu R and Wang Z M. 2018. Geometric accuracy evaluation model of domestic push-broom mapping satellite image. Geomatics and Information Science of Wuhan University, 43(11): 1628-1634
  28. 28.
    Zhou P, Tang X M, Wang Z M, Cao N and Wang X. 2017. Vertical accuracy effect verification for satellite imagery with different GCPs. IEEE Geoscience and Remote Sensing Letters, 14(8): 1268-1272
  29. 29.
    Zhou T, Popescu S C, Krause K, Sheridan R D and Putman E. 2017b. Gold-A novel deconvolution algorithm with optimization for waveform LiDAR processing. ISPRS Journal of Photogrammetry and Remote Sensing, 129: 131-150

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