收稿：2017-03-16，
录用：2017-8-30，
纸质出版：2018-09
移动端阅览
主要研究利用高分辨率WorldView-2卫星影像和双介质立体摄影测量方法进行浅海地形测绘的可行性，同时解决双介质立体摄影测量精定位算法(即折射改正算法)适用性差的问题。首先依据通用的双介质物像几何关系，提出了一种普适的双介质立体摄影测量折射改正算法；然后以海南省三沙市甘泉岛、珊瑚岛周围浅海区域为试验场，利用两个地区的WorldView-2立体影像，运用双介质立体摄影测量方法进行了浅海地形测绘试验。试验成功提取到了两个地区浅海海底的数字高程模型(DEM)。其中，甘泉岛地区的浅海DEM精度达到2.08 m(剔除其中的高程异常点后的结果)。研究表明：提出的折射改正算法，无论“空中同名光线延长线是否相交”都是适用的，且能改善浅海地形测绘精度。在水体清澈、无海浪情况下，利用相应的WorldView-2立体影像和双介质立体摄影测量方法进行浅海地形测绘是可行的。
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.
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
曹斌, 邱振戈, 曹彬才. 2016. 四种遥感浅海水深反演算法的比较. 测绘科学技术学报, 33(4): 388–393
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 (
曹斌, 邱振戈, 朱述龙, 曹彬才. 2017. BP神经网络遥感水深反演算法的改进. 测绘通报(2): 40–44
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 (
曹斌,朱述龙,邱振戈,曹彬才. 2017. 一种更严密的双介质立体摄影测量折射改正算法. 测绘学报, 46(9): 1182–1192
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 (
曹彬才, 邱振戈, 朱述龙, 涂辛茹, 曹芳, 曹斌. 2016. 高分辨率卫星立体双介质浅水水深测量方法. 测绘学报, 45(8): 952–963
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 (
常本义. 1991. 双介质摄影测量基本公式. 测绘学报, 20(4): 288–294
Chang B Y. 1991. Basic formulas of two-media photogrammetry. Acta Geodaetica et Cartographica Sinica, 20(4): 288–294 (
DigitalGlobe. 2010. Radiometric Use of WorldView-2 Imagery. https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/104/Radiometric_Use_of_WorldView-2_Imagery.pdf https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/104/Radiometric_Use_of_WorldView-2_Imagery.pdf [2017-03-10]
DigitalGlobe. 2013. WorldView-2 Overview. http://content.satimagingcorp.com.s3.amazonaws.com/static/satellite-sensor-specification/WorldView-2-PDF-Download.pdf http://content.satimagingcorp.com.s3.amazonaws.com/static/satellite-sensor-specification/WorldView-2-PDF-Download.pdf [2017-03-10]
DigitalGlobe. 2014. Imagery Support Data (ISD) Documentation. https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/106/ISD_External.pdf https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/106/ISD_External.pdf [2017-03-10]
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
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 [DOI: 10.1109/VSMM.2012.6365922 http://dx.doi.org/10.1109/VSMM.2012.6365922 ]
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
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
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 [DOI: 10.1109/ICCV.1999.790410 http://dx.doi.org/10.1109/ICCV.1999.790410 ]
Lowe D G. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2): 91–110
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 [DOI: 10.5194/isprsarchives-XL-5-W5-139-2015 http://dx.doi.org/10.5194/isprsarchives-XL-5-W5-139-2015 ]
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
Optech. 2006. SHOALS-3000 Product Brochure. [2017-03-10]. http://pdf.directindustry.com/pdf/optech/shoals-3000-product-brochure/25132-53146.html http://pdf.directindustry.com/pdf/optech/shoals-3000-product-brochure/25132-53146.html
单杰. 1993. 双介质摄影测量的相对定向. 解放军测绘学院学报(3): 38–44
Shan J. 1993. Relative orientation for two-media photogrammetry. Journal of the PLA Institute of Surveying and Mapping(3): 38–44 (
Shan J. 1994. Relative orientation for two-media photogrammetry. The Photogrammetric Record, 14(84): 993–999
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
王有年, 韩玲, 王云. 1988. 水下近景摄影测量试验研究. 测绘学报, 17(3): 217–224
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 (
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
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
周高伟, 李英成, 任延旭, 盛琳, 叶冬梅, 范凤云, 白洁. 2015. 低空无人机双介质水下礁盘深度测量试验与分析. 测绘学报, 44(5): 548–554, 562
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 (
朱述龙, 孟伟灿, 朱宝山. 2013. 运用GVF Snake算法提取水域的不规则边界. 遥感学报, 17(4): 742–758
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 (
相关文章
相关作者
相关机构
京公网安备11010802024621
