Changwook Lee

Professor

Changwon National University

South Korea

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Articles (15)

Wildfire susceptibility mapping by incorporating damage proxy maps, differenced normalized burn Ratio, and deep learning algorithms based on sentinel-1/2 data: a case study on Maui Island, Hawaii

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Year:

2024

A Novel Fuzzy Hypersphere Neural Network Classifier Using Class Specific Clustering for Robust Pattern Classification

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Year:

2024

Comparison of Satellite Imagery for Identifying Seagrass Distribution Using a Machine Learning Algorithm on the Eastern Coast of South Korea

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Year:

2023

Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia

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Year:

2023

Extraction of Roads Using the Archimedes Tuning Process with the Quantum Dilated Convolutional Neural Network

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Year:

2023

Google Earth Engine for Advanced Land Cover Analysis from Landsat‐8 Data with Spectral and Topographic Insights

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Year:

2023

Land Subsidence and Groundwater Storage Assessment Using ICOPS, GRACE, and Susceptibility Mapping in Pekalongan, Indonesia

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Year:

2023

Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep Learning, and Metaheuristic Optimization Approaches

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Year:

2022

Estimating the Pre-Historical Volcanic Eruption in the Hantangang River Volcanic Field: Experimental and Simulation Study

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Year:

2022

Improved Combined Scatterers Interferometry With Optimized Point Scatterers (ICOPS) for Interferometric Synthetic Aperture Radar (InSAR) Time-Series Analysis

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Year:

2022

Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data

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Year:

2021

Spatial Prediction of Groundwater Potentiality in Large Semi-Arid and Karstic Mountainous Region Using Machine Learning Models

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Year:

2021

Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran

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Year:

2021

Improvement of Earthquake Risk Awareness and Seismic Literacy of Korean Citizens through Earthquake Vulnerability Map from the 2017 Pohang Earthquake, South Korea

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Year:

2021

Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea

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Year:

2021

Collaborators (2)

SEUNGJAE LEE

Kangnam University

SOUTH KOREA

Sungjae Park

Kangnam University

SOUTH KOREA

Changwook Lee

Research Interests

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Contact this professor

Articles (15)

Wildfire susceptibility mapping by incorporating damage proxy maps, differenced normalized burn Ratio, and deep learning algorithms based on sentinel-1/2 data: a case study on Maui Island, Hawaii

A Novel Fuzzy Hypersphere Neural Network Classifier Using Class Specific Clustering for Robust Pattern Classification

Comparison of Satellite Imagery for Identifying Seagrass Distribution Using a Machine Learning Algorithm on the Eastern Coast of South Korea

Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia

Extraction of Roads Using the Archimedes Tuning Process with the Quantum Dilated Convolutional Neural Network

Google Earth Engine for Advanced Land Cover Analysis from Landsat‐8 Data with Spectral and Topographic Insights

Land Subsidence and Groundwater Storage Assessment Using ICOPS, GRACE, and Susceptibility Mapping in Pekalongan, Indonesia

Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep Learning, and Metaheuristic Optimization Approaches

Estimating the Pre-Historical Volcanic Eruption in the Hantangang River Volcanic Field: Experimental and Simulation Study

Improved Combined Scatterers Interferometry With Optimized Point Scatterers (ICOPS) for Interferometric Synthetic Aperture Radar (InSAR) Time-Series Analysis

Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data

Spatial Prediction of Groundwater Potentiality in Large Semi-Arid and Karstic Mountainous Region Using Machine Learning Models

Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran

Improvement of Earthquake Risk Awareness and Seismic Literacy of Korean Citizens through Earthquake Vulnerability Map from the 2017 Pohang Earthquake, South Korea

Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea

Collaborators (2)

SEUNGJAE LEE

Sungjae Park

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