Enhancing Landslide Prediction Through Advanced Transformer-Based Models: Integrating SAR Imagery and Environmental Data

Mohammad Amin Khalili; Simone Palumbo; Sadegh Madadi; Giuseppe Bausilio; Behzad Voosoghi; Domenico Calcaterra; Diego Di Martire; University of Naples Federico II

doi:10.58286/29721

Conference proceeding

Enhancing Landslide Prediction Through Advanced Transformer-Based Models: Integrating SAR Imagery and Environmental Data

Mohammad Amin Khalili, Simone Palumbo, Sadegh Madadi, Giuseppe Bausilio, Behzad Voosoghi, Domenico Calcaterra, Diego Di Martire and University of Naples Federico II

11th European Workshop on Structural Health Monitoring, EWSHM 2024, Vol.29(7)

2024-07

DOI: https://doi.org/10.58286/29721

Appears in Miller School of Medicine - Latest Publications

Abstract

Caiazzo

COSMO-SkyMed Satellite Imagery

Landslide Deformation Prediction

Natural Hazard Assessment

Transformer Models

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Title: Enhancing Landslide Prediction Through Advanced Transformer-Based Models: Integrating SAR Imagery and Environmental Data
Creators: Mohammad Amin Khalili - University of Naples Federico II
Simone Palumbo - University of Naples Federico II
Sadegh Madadi - Kharazmi University
Giuseppe Bausilio - University of Naples Federico II
Behzad Voosoghi - K.N.Toosi University of Technology
Domenico Calcaterra - University of Naples Federico II
Diego Di Martire - University of Naples Federico II
University of Naples Federico II
Publication Details: 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Vol.29(7)
Academic Unit: Miller School of Medicine; UMMG Department of Surgery; UMMG Dept of Surgery - Div of Cardiothoracic Surgery
Language: English
Resource Type: Conference proceeding
Record Identifier: 991032796066102976