摘要: A new semi-supervised `growing' Bayesian classifier for small reservoir delineation has been developed and is tested with Radarsat-2 data reservoirs in the semi-arid Upper East Region of Ghana. The reduces confusion error to land-water boundary pixels, can readily be extended auxiliary information a high degree automation. Results indicate that algorithm able delineate open water from SAR imagery different weather environmental conditions. As such, allows remotely sensed operational monitoring storages.
tudelft.nl参考文章(28)
Charlotte de Fraiture, Jean-Philippe Venot, Ernest Nti Acheampong, Revisiting dominant notions: a review of costs, performance and institutions of small reservoirs in sub-Saharan Africa. Research Report. International Water Management Institute. ,(2012)
Harry Zhang, The Optimality of Naive Bayes. the florida ai research society. pp. 562- 567 ,(2004)
David J. Harding, Michael F. Jasinski, ICESat Observations of Inland Surface Water Stage, Slope, and Extent: a New Method for Hydrologic Monitoring AGUFM. ,vol. 2004, ,(2004)
Sandro Martinis, Automatic near real-time flood detection in high resolution X-band synthetic aperture radar satellite data using context-based classification on irregular graphs Ludwig-Maximilians-Universität München. ,(2010)
B. Brisco, N. Short, J. van der Sanden, R. Landry, D. Raymond, A semi-automated tool for surface water mapping with RADARSAT-1. Canadian Journal of Remote Sensing. ,vol. 35, pp. 336- 344 ,(2009) , 10.5589/M09-025
F. M. HENDERSON, Environmental factors and the detection of open surface water areas with X-band radar imagery International Journal of Remote Sensing. ,vol. 16, pp. 2423- 2437 ,(1995) , 10.1080/01431169508954567
F.O. Annor, N. van de Giesen, J. Liebe, P. van de Zaag, A. Tilmant, S.N. Odai, Delineation of small reservoirs using radar imagery in a semi-arid environment: A case study in the upper east region of Ghana Physics and Chemistry of The Earth. ,vol. 34, pp. 309- 315 ,(2009) , 10.1016/J.PCE.2008.08.005
J. R. Liebe, N. van de Giesen, M. Andreini, M. T. Walter, T. S. Steenhuis, Determining watershed response in data poor environments with remotely sensed small reservoirs as runoff gauges Water Resources Research. ,vol. 45, ,(2009) , 10.1029/2008WR007369
A. J. Luckman, M. S. Horritt, D. C. Mason, Flood boundary delineation from Synthetic Aperture Radar imagery using a statistical active contour model International Journal of Remote Sensing. ,vol. 22, pp. 2489- 2507 ,(2001) , 10.1080/01431160152497691
T. Sawunyama, A. Senzanje, A. Mhizha, Estimation of small reservoir storage capacities in Limpopo River Basin using geographical information systems (GIS) and remotely sensed surface areas: Case of Mzingwane catchment Physics and Chemistry of The Earth. ,vol. 31, pp. 935- 943 ,(2006) , 10.1016/J.PCE.2006.08.008