Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

There is a growing demand for detailed and accurate landslide maps and inventories around the globe, but particularly in hazard-prone regions such as the Himalayas. Most standard mapping methods require expert knowledge, supervision and fieldwork. In this study, we use optical data from the Rapid Ey...

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Bibliographic Details
Main Authors: Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Raj Meena, Dirk Tiede, Jagannath Aryal
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
deep-learning
convolution neural networks (CNNs)
artificial neural network
RapidEye
landslide mapping
mean intersection-over-union (mIOU)
Online Access:https://www.mdpi.com/2072-4292/11/2/196

Internet

https://www.mdpi.com/2072-4292/11/2/196

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