A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment

Author:

van der Sande C.J.,de Jong S.M.,de Roo A.P.J.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference31 articles.

1. Anderson, J.R., Hardy, E.E., Roach, J.T., 1976. A land use and land cover classification system for use with remote sensor data. Geological survey professional paper 964. US Government Printing Office, Washington, DC.

2. Baatz, M., Schäpe, A., 2000. Multi-resolution Segmentation: an optimisation approach for high quality multi-scale image segmentation. AGIT 2000. In: Strobl, J., Blaschke, T., Griesebner, G. (Eds.), Proceedings of the Angewandte Geographische Informationsverarbeitung XII Beiträge Zum AGIT-Symposium Salzburg 2000, pp. 12–23.

3. Ballard, A., Brown, C.M., 1982. Computer Vision. Prentice-Hall Inc., Englewood Cliffs, NJ, 523 pp.

4. A simple raster-based model for flood inundation simulation;Bates;J. Hydrol.,2000

5. Beasley, D.B., Huggins, L.F., 1982. Answers Users Manual. UESPA, Region V, Chicago, IL, Purdue University, West Lafayette, IN, 54 pp.

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