Building a water feature extraction model by integrating aerial image and lidar point clouds

References

• Ahn, Y., and P. Shanmugam. 2006. “Detecting the Red Tide Algal Blooms from Satellite Ocean Color Observations in Optically Complex Northeast-Asia Coastal Waters. ” Remote Sensing of Environment 103: 419–437.
   Web of Science ®Google Scholar
• Anderson, M. C., R. G. Allen, A. Morse, and W. P. Kustas. 2012. “Use of Landsat Thermal Imagery in Monitoring Evapotranspiration and Managing Water Resources. ” Remote Sensing of Environment 122: 50–65. doi:10.1016/j.rse.2011.08.025.
   Web of Science ®Google Scholar
• Barton, I. J., and J. M. Bathols. 1989. “Monitoring Floods with AVHRR. ” Remote Sensing of Environment 30: 89–94.
   Web of Science ®Google Scholar
• Chen, X. L., X. B. Cai, and H. Li. 2007. “Expert Classification Method Based on Patch-Based Neighborhood Searching Algorithm. ” Geo-Spatial Information Science 10: 37–43.
   Google Scholar
• Cheng, Y. Z. 1995. “Mean Shift, Mode Seeking, and Clustering. ” IEEE Transactions on Pattern Analysis and Machine Intelligence 17: 790–799.
   Web of Science ®Google Scholar
• Clark, R. N., G. A. Swayze, R. Wise, K. E. Livo, T. M. Hoefen, R. F. Kokaly, and S. J. Sutley. 2007. USGS Digital Spectral Library splib06a. U.S. Geological Survey, Data Series 231.
   Google Scholar
• Dorin, C., and M. Peter. 2002. “Mean Shift: A Robust Approach Toward Feature Space Analysis. ” IEEE Transactions on Pattern Analysis and Machine Intelligence 24: 603–618.
   Web of Science ®Google Scholar
• Du, J. K., Y. S. Huang, X. Z. Feng, and Z. L. Wang. 2001. “Study on Water Bodies Extraction and Classification from SPOT Image. ” Journal of Remote Sensing 5: 214–219.
   Google Scholar
• Dwyer, R. A. 1987. “A Faster Divide-and-Conquer Algorithm for Constructing Delaunay Triangulations. ” Algorithmica 2: 137–151.
   Web of Science ®Google Scholar
• Fukunaga, K., and L. D. Hostetler. 1975. “The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition. ” IEEE Transactions Information Theory 21: 32–40.
   Web of Science ®Google Scholar
• Guibas, L., and J. Stolfi. 1985. “Primitives for the Manipulation of General Subdivisions and the Computation of Voronoi Diagrams. ” ACM Transactions on Graphics 4: 75–123.
   Web of Science ®Google Scholar
• Horwitz, H. M., R. F. Nalepka, P. D. Hyde, and J. P. Morgenstern. 1971. “Estimating the Proportions of Objects Within a Single Resolution Element of a Mulitispectral Scanner ”. Proceedings of 7th International Symposium on Remote Sensing of Environment, University of Michigan, Ann Arbor 2 (A72-11776 02-13): 1307–1320.
   Google Scholar
• Hu, C. M., F. E. Muller-Karger, C. J. Taylor, K. L. Carder, C. Kelble, E. Johns, and C. A. Heil. 2005. “Red Tide Detection and Tracing Using MODIS Fluorescence Data: A Regional Example in SW Florida Coastal Waters. ” Remote Sensing of Environment 97: 311–332.
   Web of Science ®Google Scholar
• Liu, Y. L., S. Y. Ya, and T. Wang. 2003. “Study on Image Interactive Interpretation Technology and its Applications. ” Geography and Geo-Information Science 19: 27–31.
   Google Scholar
• Luo, J. C., C. H. Zhou, and Y. Yang. 2001. “ANN Remote Sensing Classification Model and Its Integration Approach with Geo-Knowledge. ” Journal of Remote Sensing 5: 122–129.
   Google Scholar
• Mcfeeters, S. K. 1996. “The Use of Normalized Difference Water Index (NDWI) in the Delineation of Open Water Features. ” International Journal of Remote Sensing 17: 1425–1432.
   Web of Science ®Google Scholar
• Munday, J. C., and J. T. Alföldi. 1979. “LANDSAT Test of Diffuse Reflectance Models for Aquatic Suspended Solids Measurement. ” Remote Sensing of Environment 8: 169–183.
   Web of Science ®Google Scholar
• Ordoyne, C., and Friedl, M. A. 2008. “Using MODIS Data to Characterize Seasonal Inundation Patterns in the Florida Everglades. ” Remote Sensing of Environment 112: 4107–4119.
   Web of Science ®Google Scholar
• Ouma, Y. O., and I. R. Tateish. 2006. “A Water Index for Rapid Mapping of Shoreline Changes of Five East African Rift Valley Lakes: An Empirical Analysis Using Landsat TM and ETM+ Data. ” International Journal of Remote Sensing 27: 3153–3181.
   Web of Science ®Google Scholar
• Sabins, F. F. 1996. Remote Sensing: Principles and Interpretations. New York: W.H. Freeman.
   Google Scholar
• Seidel, R. 1995. “The Upper Bound Theorem for Polytopes: An Easy Proof of Its Asymptotic Version. ” Computational Geometry 2: 115–116. doi:10.1016/0925-7721(95)00013-Y.
   Web of Science ®Google Scholar
• Steuer, H., U. Schäffler, and A. Gross. 2011. “Detection of Standing Water Bodies in LiDAR-Data ”. In Proceedings of Earth Observations of Global Changes EOGC 2011, Munich.
   Google Scholar
• Wang, Z. Y., H. C. Ma, H. G. Xu, and J. G. Peng. 2010. “A Method for Extracting Water Contour Lines from LiDAR Point Clouds Data. ” Geomatics and Information Science of Wuhan University 35: 432–435.
   Google Scholar
• Work, E. A., and F. J. Thomson. 1974. A Study of Waterfowl Habitat in North Dakota Using Remote Sensing Techniques, Phase II. Ann Arbor, MI: Environmental Research Institute of Michigan.
   Google Scholar
• Zhang, Y. J., L. Wu, L. W. Lin, and J. P. Zhao. 2010. “Automatic Water Body Extraction Based on Lidar Data and Aerial Images. ” Geomatics and Information Science of Wuhan University 35: 936–940.
   Google Scholar
• Zhang, Z. M., Y. G. Ma, and X. Y. Chang. 2001. “Fuzzy Mathematics’s Application in the Panchromatic Aerial Image Classification. ” Journal of Institute of Surveying and Mapping 18: 186–188.
   Google Scholar
• Zhao, S. H., X. Z. Feng, and J. K. Yu. 2003. “Methods of Water Information Extraction of CBERS-1. ” Journal of Nanjing University (Natural Sciences) 39: 106–112.
   Google Scholar