A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Ensemble Disagreement Active Learning for Spatial Prediction of Shallow Landslide
Abstract In Malaysia, landslides are considered as the most frequent and devastating natural disaster that cause human life and property losses. The spatial prediction of landslides is the basic step required for hazard and risk assessments. Spatial prediction methods of landslides are established and documented in the literature. However, several research directions on this topic need to be developed and explored in depth. The current improvement in computer technology and laser scanning systems provide improved data processing capabilities and topographic datasets, as well as new trends in landslide modeling and methods that can deal with such advanced technologies and datasets.
Ensemble Disagreement Active Learning for Spatial Prediction of Shallow Landslide
Abstract In Malaysia, landslides are considered as the most frequent and devastating natural disaster that cause human life and property losses. The spatial prediction of landslides is the basic step required for hazard and risk assessments. Spatial prediction methods of landslides are established and documented in the literature. However, several research directions on this topic need to be developed and explored in depth. The current improvement in computer technology and laser scanning systems provide improved data processing capabilities and topographic datasets, as well as new trends in landslide modeling and methods that can deal with such advanced technologies and datasets.
Ensemble Disagreement Active Learning for Spatial Prediction of Shallow Landslide
Pradhan, Biswajeet (author) / Sameen, Maher Ibrahim (author) / Kalantar, Bahareh (author)
2017-01-01
13 pages
Article/Chapter (Book)
Electronic Resource
English
Support Vector Machine , Active Learning , Landslide Susceptibility , Support Vector Machine Model , Landslide Occurrence Environment , Environmental Management , Environmental Physics , Earth System Sciences , Remote Sensing/Photogrammetry , Geotechnical Engineering & Applied Earth Sciences , Geophysics and Environmental Physics
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