A New Integrated Approach for Landslide Data Balancing and Spatial Prediction Based on Generative Adversarial Networks (GAN)

A New Integrated Approach for Landslide Data Balancing and Spatial Prediction Based on Generative Adversarial Networks (GAN)

Landslide susceptibility mapping has significantly progressed with improvements in machine learning techniques. However, the inventory/data imbalance (DI) problem remains one of the challenges in this domain. This problem exists as a good quality landslide inventory map, including a complete record...

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Bibliographic Details
Main Authors: Husam A. H. Al-Najjar, Biswajeet Pradhan, Raju Sarkar, Ghassan Beydoun, Abdullah Alamri
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
landslide susceptibility
imbalanced dataset
machine learning
generative adversarial network
GIS
remote sensing
Online Access:https://www.mdpi.com/2072-4292/13/19/4011

Internet

https://www.mdpi.com/2072-4292/13/19/4011

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