Abstract
Shoulder lines are the most important landform demarcations for geographical analysis, soil erosion modeling and land use planning in the Loess Plateau area of China. This paper proposes an automatic, effective and accurate method of determining loess shoulder line from DEMs by integrating a hydrological D8 algorithm and a snake model. The watershed boundary line is adopted as the initial contour which evolves to identify the exact position of loess shoulder-line by the guidance of an external force of snake model from DEMs. Experiments show that the method overcomes the difficulties in both threshold selection for edge detection and the disconnecting issues in former extraction approaches. The accuracy evaluation of shoulder-line maps from the two test sites of the loess plateau area show obvious improvements in the extraction. The average contour matching distance of the new method is 12.0 m on 5 m resolution DEM, and shows improvement in the accuracy and continuity. The comparisons of accuracy evaluations of the two test sites show that the snake model method performs better in the loess plain area than in the area with high gully density.
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References
Barnard M, Holden E, Owens R (2002) Lip tracking using pattern matching snakes. ACCV 2002: The 5th Asian Conference on Computer Vision, Melbourne, Australia. pp 23–25.
Butenuth M (2008) Topology-preserving network snakes. Remote Sensing and Spatial Information Sciences, Beijing Part B3A (XXXVII): 229–234.
Easterbrook, DJ (1999) Surface processes and landforms. 2nd ed. Upper Saddle River, New Jersey: Prentice Hall. pp 147–152.
Hoch M, Litwinowicz PC (1996) A practical solution for tracking edges in image sequences with snakes. The Visual Computer 12(2): 75–83.
Jia Y (2010) Research of profile spectrum along catchment boundary on northern Shaanxi loess plateau, China. Doctoral Dissertation of Nanjing Normal University. Nanjing, China.
Wilson J, Aggett G, Deng YX, Christine SL (2008). Water in the landscape: A review of contemporary flow routing algorithms. Advances in Digital Terrain Analysis Lecture Notes in Geoinformation and Cartography. 213–236. DOI: 10.1007/978-3-540-77800-4_12.
Kass M, Witkin A, Terzopoulos D (1987) Snakes: active contour models. International Journal of Computer Vision 1(4): 321–331. DOI: 10.1007/BF00133570.
Li X (2009) Automatic image segmentation based on level set approach: application to brain segmentation in MR images. Doctoral Dissertation of Raims Champagne Ardenne University. Paris, France.
Li X, Wang G, Li R (2008) A DEM based method for extraction of valley shoulder line and slope heel line. Bulletin of Soil and Water Conservation, PAMI-28(1): 69–72. DOI: 1000-288X(2008)01-0069-04. (In Chinese)
Li Y, Zhu S (2007) Improved snake algorithm for eye edge detection. Opti-Electronic Engineering 34(10): 78–82. (In Chinese)
Liu P, Zhu Q, Wu D, et al. (2006) Automated extraction of shoulder line of valleys based on flow paths from grid digital elevation model (DEM) data. Journal of Beijing Forestry University 28(4): 72–76. (In Chinese)
Lu G, Qian Y, Chen Z (1998) Study of automated extraction of shoulder line of valley from grid digital elevation data. Scientia Geographica Sinica, PAMI-18(6): 567–573. (In Chinese)
Mayer H, Laptev I, Baumgartner A (1998) Multi-scale and snakes for automatic road extraction. Proceedings of the 5th European Conference on Computer Vision-Volume I, vol 1406, pp 720–733.
Qin F, Han Z (2010) Landform evolution modeling of a small catchment in the loess plateau. 2010 18th International Conference on Geoinformatics. pp 1–8. DOI: 10.1109/GEOINFORMATICS.2010.5567896.
Tang G, Xiao C, Jia D, et al. (2007) DEM based investigation of loess shoulder-line. Proceedings of Geoinformatics: Geospatial Information Science. DOI: 10.1117/12.761941.
Tao Y, Tang G, Wang C (2007) Contour-matching-difference and its application in DEM quality assessment. Bulletin of Surveying and Mapping (7): 65–68. DOI: 10.3969/j.issn.0494-0911.2007.07.021. (In Chinese)
Wang Y, Teoh EK, Shen D (2004) Lane detection and tracking using B-snake. Image and Vision Computing 22: 269–280. DOI: 10.1016/j.imavis.2003.10.003
Xiao C, Tang G (2007) Classification of valley shoulder line in loess relief. Arid Land Geography, PAMI-30(05): 646–653. (In Chinese)
Xu C, Prince JL (1997) Gradient vector flow: a new external force for snakes. Computer vision and pattern recognition, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp 66–71. DOI: 10.1109/CVPR.1997.609299.
Xu C, Prince JL (1998) Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing 7(3): 359–369. DOI: 10.1109/83.661186.
Xu C, Prince JL (2000) Gradient vector flow deformable models. Handbook of Medical Imaging, London: Academic Press, pp 159–169.
Yan S, Tang G, Li F, et al. (2011) An edge detection based method for the extraction of loess shoulder-line from grid DEMs. Geomatics and Information Science of Wuhan University 36(3): 363–367. (In Chinese)
Zhang Q, Couloigner I (2004) Automatic road change detection and GIS updating from high spatial remotely-sensed imagery. Geo-Spatial Information Science 7(2): 89–95. DOI: 10.1007/BF02826642.
Zheng F, Kang S (1998) Erosion and sediment yield in different zones of loess slopes. Acta Geographica Sinica 53(5): 422–428. (In Chinese)
Zhou Y, Tang G, Wang C, et al. (2009) A novel method for automatic extracting loess positive and negative terrains based on grid DEMs. The 1st International Conference on Information Science and Engineering. pp 3730–3732. DOI: 10.1109/ICISE.2009.121.
Zhou Y, Tang G, Wang C (2010) Automatic segmentation of loess positive and negative terrains based on high resolution grid DEMs. Scientia Geographica Sinica 30(2): 261–266. (In Chinese)
Zhu H, Tang G, Zhang Y, et al. (2003) Thalweg in loess hill area based on DEM. Bulletin of Soil and Water Conservation, PAMI-23(5): 43–61. DOI: 10.3969/j.issn.1000-288X.2003.05.011. (In Chinese)
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Yan, Sj., Tang, G., Li, Fy. et al. Snake model for the extraction of loess shoulder-line from DEMs. J. Mt. Sci. 11, 1552–1559 (2014). https://doi.org/10.1007/s11629-013-2484-0
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DOI: https://doi.org/10.1007/s11629-013-2484-0