Omid Ghorbanzadeh

Orcid: 0000-0002-9664-8770

According to our database1, Omid Ghorbanzadeh authored at least 30 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
An Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region.
Remote. Sens., August, 2023

Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula.
Remote. Sens., May, 2023

2022
Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning.
Remote. Sens., December, 2022

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan.
Sensors, 2022

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions.
Remote. Sens., 2022

Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East.
Remote. Sens., 2022

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery.
CoRR, 2022

Model-Centric vs Data-Centric Deep Learning Approaches for Landslide Detection.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

The Landslide4Sense Competition 2022.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery.
Remote. Sens., 2021

2020
Earthquake Vulnerability Mapping Using Different Hybrid Models.
Symmetry, 2020

Application of the AHP-BWM Model for Evaluating Driver Behavior Factors Related to Road Safety: A Case Study for Budapest.
Symmetry, 2020

Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping.
Symmetry, 2020

Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria.
Remote. Sens., 2020

Mapping Land Cover and Tree Canopy Cover in Zagros Forests of Iran: Application of Sentinel-2, Google Earth, and Field Data.
Remote. Sens., 2020

National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making.
ISPRS Int. J. Geo Inf., 2020

A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China-Pakistan Economic Corridor (CPEC) Route.
ISPRS Int. J. Geo Inf., 2020

An Application of Sentinel-1, Sentinel-2, and GNSS Data for Landslide Susceptibility Mapping.
ISPRS Int. J. Geo Inf., 2020

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

Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions.
Remote. Sens., 2019

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas.
Remote. Sens., 2019

UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks.
Remote. Sens., 2019

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection.
Remote. Sens., 2019

Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran.
Remote. Sens., 2019

Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services.
ISPRS Int. J. Geo Inf., 2019

A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal.
ISPRS Int. J. Geo Inf., 2019

Optimizing Sample Patches Selection of CNN to Improve the mIOU on Landslide Detection.
Proceedings of the 5th International Conference on Geographical Information Systems Theory, 2019


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