Detecting flooded areas with machine learning techniques: case study of the Selška Sora river flash flood in September 2007
暂无分享,去创建一个
Matjaž Mikoš | Krištof Oštir | Tatjana Veljanovski | Peter Lamovec | K. Oštir | M. Mikoš | T. Veljanovski | P. Lamovec
[1] J. R. Quinlan. Learning With Continuous Classes , 1992 .
[2] William W. Cohen. Fast Effective Rule Induction , 1995, ICML.
[3] Ian Witten,et al. Data Mining , 2000 .
[4] Ahmed Mahmood,et al. An overview of the International Charter 'Space and Major Disasters' , 2002, IEEE International Geoscience and Remote Sensing Symposium.
[5] Jay Gao,et al. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery , 2003 .
[6] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[7] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[8] T. Gillespie,et al. Assessment and prediction of natural hazards from satellite imagery , 2007, Progress in physical geography.
[9] Matjaž Mikoš,et al. Characteristics of the extreme rainfall event and consequent flash floods in W Slovenia in September 2007 , 2009 .
[10] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[11] Peter Lamovec,et al. UPORABA STROJNEGA UČENJA ZA DOLOČITEV POPLAVLJENIH OBMOČIJ - PRIMER POPLAV V SELŠKI DOLINI LETA 2007 APPLICATION OF DATA MINING FOR DETERMINATION OF FLOODED AREAS - SELŠKA VALLEY 2007 FLOODS CASE STUDY , 2010 .
[12] Frank S. Marzano,et al. Lessons learned from using COSMO-SkyMed imagery for flood mapping: some case studies , 2012, Remote Sensing.
[13] Paul D. Bates,et al. A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[14] Saso Dzeroski,et al. Tree ensembles for predicting structured outputs , 2013, Pattern Recognit..
[15] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .