Experiments in shallow seafloor surveying using WorldView-2 images and two-media stereophotogrammetry

  • role: First author第一作者
  • Affiliation:

    College of Marine Science, Shanghai Ocean University, Shanghai 201306, China

  • Email:caobinalonzo@sina.com
  • Introduction:曹斌,1992年生,男,硕士研究生,研究方向为海洋遥感测绘。E-mail:caobinalonzo@sina.com
Bin CAO1,  
  • role: Corresponding author通信作者
  • Affiliation:

    The Information Engineering University, Zhengzhou 450001, China

  • Email:zhushulong668@sina.com
  • Introduction:朱述龙,1964年生,男,教授,研究方向为卫星遥感应用。E-mail:zhushulong668@sina.com
Shulong ZHU2*,  
  • Affiliation:

    College of Marine Science, Shanghai Ocean University, Shanghai 201306, China

Zhenge QIU1,  
  • Affiliation:

    The Information Engineering University, Zhengzhou 450001, China

Bincai CAO2

ملخص

Two-media satellite stereophotogrammetry, a combination of high-resolution satellite stereo images and two-media stereophotogrammetry, is a potential and promising method for shallow seafloor surveying, especially in areas far from the mainland. This study focuses on this method and its possible application in shallow seafloor surveying. The study has two objectives. The first is to solve the problem of poor applicability of an existing accurate positioning algorithm (i.e., refraction correction algorithm) in two-media stereophotogrammetry. The second is to explore the feasibility of shallow seafloor surveying using WorldView-2 stereo images and two-media stereophotogrammetry. First, a universal algorithm is presented for refraction correction based on the general geometry of two-media stereophotogrammetry. Two cases are considered in the algorithm, namely, the intersection and non-intersection of the corresponding two aerial straight rays of an underwater object. The positional relationship between the transitional point and other important relevant points in two-media stereophotogrammetry is also considered. Three experiments are performed to verify the feasibility of shallow seafloor surveying using two-media satellite stereophotogrammetry and the performance of the proposed refraction correction algorithm. The first experiment uses two-media stereophotogrammetry to assess whether a Digital Elevation Model (DEM) of shallow seafloor can be derived and determine how it is derived from WorldView-2 images. The second experiment assesses the accuracy of the DEM. (Note that quantitative accuracy assessment is not carried out for the Shanhu Island area because of the lack of reference data). The third experiment demonstrates the performance of the proposed refraction correction algorithm by comparing it with the results of Murase’s algorithm, which is a typical method. Two groups of WorldView-2 stereo images are used in these experiments, which show the Ganquan and Shanhu Island areas in Shansha City, Hainan Province. Results show that the DEMs of the two areas are successfully derived from the stereo images using the proposed method. For the Ganquan Island area, the DEM obtained by our refraction correction algorithm has an accuracy of 2.08 m, while the DEM obtained by Murase’s algorithm has an accuracy of 2.31 m. Previous practice suggests that the DEM accuracy of 2.08 m is satisfactory for satellite photogrammetry. These experiments show that an eligible DEM of shallow seafloor can be derived from WorldView-2 images by using two-media stereophotogrammetry, and its accuracy can be slightly improved by using our proposed refraction correction algorithm. In conclusion, the proposed refraction correction algorithm is generally applicable because it is suitable for both two-media stereophotogrammetric cases, specifically, the intersection and non-intersection of corresponding two aerial straight rays of an underwater object point. Deriving a DEM of shallow seafloor from WorldView-2 images using the method of two-media stereophotogrammetry is feasible.

مفهوم

WorldView-2 image;two-media stereophotogrammetry;accurate positioning;refraction correction;shallow seafloor;surveying accuracy

References

  1. 1.
    Butler J, Lane S, Chandler J and Porfiri E. 2002. Through-water close range digital photogrammetry in flume and field environments. Photogrammetric Record, 17(99): 419–439
  2. 2.
    Cao B, Qiu Z G and Cao B C. 2016. Comparison among four inverse algorithms of water depth. Journal of Geomatics Science and Technology, 33(4): 388–393 (
  3. 3.
    Cao B, Qiu Z G, Zhu S L and Cao B C. 2017. Improvement of BP-ANN based algorithm for estimating water depth from satellite imagery. Bulletin of Surveying and Mapping(2): 40–44 (
  4. 4.
    Cao B, Zhu S L, Qiu Z G and Cao B C. 2017. More rigorous correction of refraction effects in two-media stereophoto grammetry. Acta Geodaetica et Cartographica Sinica, 46(9): 1182–1192 (
  5. 5.
    Cao B C, Qiu Z G, Zhu S L, Tu X R, Cao F and Cao B. 2016. Shallow water bathymetry through two-medium photogrammetry using high resolution satellite imagery. Acta Geodaetica et Cartographica Sinica, 45(8): 952–963 (
  6. 6.
    Chang B Y. 1991. Basic formulas of two-media photogrammetry. Acta Geodaetica et Cartographica Sinica, 20(4): 288–294 (
  7. 7.
    DigitalGlobe. 2010. Radiometric Use of WorldView-2 Imagery. [2017-03-10]
  8. 8.
    DigitalGlobe. 2013. WorldView-2 Overview. [2017-03-10]
  9. 9.
    DigitalGlobe. 2014. Imagery Support Data (ISD) Documentation. [2017-03-10]
  10. 10.
    Fryer J G and Kniest H T. 1985. Errors in depth determination caused by waves in through-water photogrammetry. The Photogrammetric Record, 11(66): 745–753
  11. 11.
    Georgopoulos A and Agrafiotis P. 2012. Documentation of a submerged monument using improved two media techniques//Proceedings of the 2012 18th International Conference on Virtual Systems and Multimedia. Milan, Italy: IEEE: 2012: 173–180
  12. 12.
    Hedley J D, Harborne A R and Mumby P J. 2005. Technical note: simple and robust removal of sun glint for mapping shallow-water benthos. International Journal of Remote Sensing, 26(10): 2107–2112
  13. 13.
    Kuus P, Clarke J H, and Brucker S. 2008. SHOALS3000 surveying above dense fields of aquatic vegetation–quantifying and identifying bottom tracking issues//Proceedings of the Canadian Hydrographic Conference and National Surveyors Conference. [s.n.]: Victoria, BC
  14. 14.
    Lowe D G. 1999. Object recognition from local scale-invariant features//Proceeding of the 7th International Conference on Computer Vision. Kerkyra, Greece: IEEE: 1150–1157
  15. 15.
    Lowe D G. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2): 91–110
  16. 16.
    Maas H G. 2015. A modular geometric model for underwater photogrammetry. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W5: 139–141
  17. 17.
    Murase T, Tanaka M, Tani T, Miyashita Y, Ohkawa N, Ishiguro S, Suzuki Y, Kayanne H and Yamano H. 2008. A photogrammetric correction procedure for light refraction effects at a two-medium boundary. Photogrammetric Engineering and Remote Sensing, 74(9): 1129–1136
  18. 18.
    Optech. 2006. SHOALS-3000 Product Brochure. [2017-03-10].
  19. 19.
    Shan J. 1993. Relative orientation for two-media photogrammetry. Journal of the PLA Institute of Surveying and Mapping(3): 38–44 (
  20. 20.
    Shan J. 1994. Relative orientation for two-media photogrammetry. The Photogrammetric Record, 14(84): 993–999
  21. 21.
    Telem G and Filin S. 2013. Photogrammetric modeling of the relative orientation in underwater environments. ISPRS Journal of Photogrammetry and Remote Sensing, 86: 150–156
  22. 22.
    Wang Y N, Han L and Wang Y. 1988. Experimental research of underwater close-range photogrammetry. Acta Geodaetica et Cartographica Sinica, 17(3): 217–224 (
  23. 23.
    Westaway R M, Lane S N and Hicks D M. 2000. The development of an automated correction procedure for digital photogrammetry for the study of wide, shallow, gravel-bed rivers. Earth Surface Processes and Landforms, 25(2): 209–226
  24. 24.
    Westaway R M, Lane S N and Hicks D M. 2001. Remote sensing of clear-water, shallow, gravel-bed rivers using digital photogrammetry. Photogrammetric Engineering and Remote Sensing, 67(11): 1271–1281
  25. 25.
    Zhou G W, Li Y C, Ren Y X, Sheng L, Ye D M, Fan F Y and Bai J. 2015. Research of two-media underwater reefs depth measurement experiment based on low-altitude UAV. Acta Geodaetica et Cartographica Sinica, 44(5): 548–554, 562 (
  26. 26.
    Zhu S L, Meng W C and Zhu B S. 2013. Irregular water boundary extraction using GVF Snake. Journal of Remote Sensing, 17(4): 742–758 (

قراءة النص الكامل

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