Hasil Pencarian - Hejar Shahabi

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  1. 1
    A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)

    A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan) oleh Omid Ghorbanzadeh, Alessandro Crivellari, Pedram Ghamisi, Hejar Shahabi, Thomas Blaschke

    Diterbitkan 2021-07-01
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  2. 2
    Object-Based Thermal Remote-Sensing Analysis for Fault Detection in Mashhad County, Iran

    Object-Based Thermal Remote-Sensing Analysis for Fault Detection in Mashhad County, Iran oleh Bakhtiar Feizizadeh, Hejar Shahabi Sorman Abadi, Khalil Didehban, Thomas Blaschke, Franz Neubauer

    Diterbitkan 2019-11-01
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  3. 3
    A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia

    A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia oleh Hejar Shahabi, Ben Jarihani, Sepideh Tavakkoli Piralilou, David Chittleborough, Mohammadtaghi Avand, Omid Ghorbanzadeh

    Diterbitkan 2019-11-01
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  4. 4
    Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model

    Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model oleh Omid Ghorbanzadeh, Sansar Raj Meena, Hejar Shahabi Sorman Abadi, Sepideh Tavakkoli Piralilou, Lv Zhiyong, Thomas Blaschke

    Diterbitkan 2021-01-01
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  5. 5
    Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation

    Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation oleh Omid Ghorbanzadeh, Hejar Shahabi, Fahimeh Mirchooli, Khalil Valizadeh Kamran, Samsung Lim, Jagannath Aryal, Ben Jarihani, Thomas Blaschke

    Diterbitkan 2020-01-01
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  6. 6
    Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery

    Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery oleh Hejar Shahabi, Maryam Rahimzad, Sepideh Tavakkoli Piralilou, Omid Ghorbanzadeh, Saied Homayouni, Thomas Blaschke, Samsung Lim, Pedram Ghamisi

    Diterbitkan 2021-11-01
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  7. 7
    Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

    Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas oleh Sepideh Tavakkoli Piralilou, Hejar Shahabi, Ben Jarihani, Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Raj Meena, Jagannath Aryal

    Diterbitkan 2019-11-01
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  8. 8
    GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

    GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran oleh Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, Saeid Janizadeh, Narges Kariminejad, Hejar Shahabi, Romulus Costache, Himan Shahabi, Ataollah Shirzadi, Amir Mosavi

    Diterbitkan 2020-08-01
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  9. 9
    Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection

    Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection oleh Omid Ghorbanzadeh, Hejar Shahabi, Sepideh Tavakkoli Piralilou, Alessandro Crivellari, Laura Elena Cue la Rosa, Clement Atzberger, Jonathan Li, Pedram Ghamisi

    Diterbitkan 2024-01-01
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