The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images

The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images

Landslide detection is a hot topic in the remote sensing community, particularly with the current rapid growth in volume (and variety) of Earth observation data and the substantial progress of computer vision. Deep learning algorithms, especially fully convolutional networks (FCNs), and variations l...

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Bibliographic Details
Main Authors: Omid Ghorbanzadeh, Khalil Gholamnia, Pedram Ghamisi
Format: Article
Language:English
Published: Taylor & Francis Group 2022-02-01
Series:Big Earth Data
Subjects:
deep learning (dl)
eastern iburi
japan
european space agency (esa)
fully convolutional networks (fcns)
object-based image analysis (obia)
rapid landslide mapping
resu-net
sentinel-2
Online Access:http://dx.doi.org/10.1080/20964471.2022.2031544

Internet

http://dx.doi.org/10.1080/20964471.2022.2031544

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