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Rapid Mapping of Landslides from Sentinel-2 Data Using Unsupervised Deep Learning
Title Rapid Mapping of Landslides from Sentinel-2 Data Using Unsupervised Deep Learning Author Shahabi Hejar 1991 SAVGEOGR - Geografický ústav SAV SCOPUS RID ORCID Co-authors Rahimzad M. Ghorbanzadeh O. Piralilou S.T. Blaschke T. Homayouni S. Ghamisi P. Source document 2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium : (M2GARSS). p. 17-20. - New Jerseay, USA : Institute of Electrical and Electronics Engineers Inc., 2022 / Abdelfattah Riadh ; Abuzar Mohammad ; 2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium Language eng - English Country TR - Turkey URL URL link Document kind rozpis článkov z periodík (rzb) Keywords Autoencoder (AE) * Convolutional neural network (CNN) * India * Kodagu district * landslide detection * monsoon rainfall * unsupervised deep learning * Western Ghats Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Type of document príspevok z podujatia Year 2023 Registered in SCOPUS DOI 10.1109/M2GARSS52314.2022.9840273 
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rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2022
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