Rapid Mapping of Landslides from Sentinel-2 Data Using Unsupervised Deep Learning-Reference-Cited by-同舟云学术

Rapid Mapping of Landslides from Sentinel-2 Data Using Unsupervised Deep Learning

Published:2022-03-07 Issue: Volume: Page:
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Container-title:2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
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Author:

Shahabi H.¹,Rahimzad M.²,Ghorbanzadeh O.³,Piralilou S. T.⁴,Blaschke T.⁴,Homayouni S.²,Ghamisi P.³

Affiliation:

1. Institute of Geography, Slovak Academy of Sciences,Bratislava,Slovakia

2. Center Eau Terre Environnement, Institut National de la Recherche Scientifique (INRS),Quebec City,Canada,QC G1K 9A9

3. Institute of Advanced Research in Artificial Intelligence (IARAI),Vienna,Austria,1030

4. University of Salzburg,Department of Geoinformatics—Z_GIS,Salzburg,Austria,5020

Publisher

IEEE

Link

Reference10 articles.

2. SMK-means: an improved mini batch k-means algorithm based on mapreduce with big data;xiao;Comput Mater Continua,2018

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