Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

Mapping landslides using automated methods is a challenging task, which is still largely done using human efforts. Today, the availability of high-resolution EO data products is increasing exponentially, and one of the targets is to exploit this data source for the rapid generation of landslide inve...

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Bibliographic Details
Main Authors: Nikhil Prakash, Andrea Manconi, Simon Loew
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
landslide
landslide mapping
remote sensing
machine learning
deep learning
convolutional neural networks (cnn)
resnet
u-net
pixel-based
object-based
semantic segmentation
dice coefficient
Online Access:https://www.mdpi.com/2072-4292/12/3/346

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https://www.mdpi.com/2072-4292/12/3/346

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