Hiroyuki Miura

Associate Professor

Hiroshima University

Japan

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Hiroyuki Miura is an Associate Professor at Hiroshima University, Japan. His research interests include earthquake engineering, remote sensing, and machine learning applications in natural disaster assessments. Recent publications focus on developing predictive models for earthquake ground motion, site amplification factors, and utilizing earth observation data for mapping disaster impacts.

Articles (12)

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (3)

Bruno Adriano

Associate Professor

Tohoku University

JAPAN

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Michiko SHIGEFUJI

Kyushu University

JAPAN

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Masashi Matsuoka

Tokyo Institute of Technology

JAPAN

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Hiroyuki Miura

Research Interests

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Articles (12)

Associating UAS images through a graph‐based guiding strategy for boosting structure from motion

Transfer learning model for estimating site amplification factors from limited microtremor H/V spectral ratios

Deep-neural-network model for predicting ground motion parameters using earthquake horizontal-to-vertical spectral ratios

Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia

Deep-Neural-Network-Based Estimation of Site Amplification Factor from Microtremor H/V Spectral Ratio

Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan

Development of Building Inventory Data in Ulaanbaatar, Mongolia for Seismic Loss Estimation

Learning from multimodal and multitemporal earth observation data for building damage mapping

Volumetric Analysis of the Landslide in Abe Barek, Afghanistan Based on Nonlinear Mapping of Stereo Satellite Imagery-Derived DEMs

Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping

Deep Learning-Based Identification of Collapsed, Non-Collapsed and Blue Tarp-Covered Buildings from Post-Disaster Aerial Images

A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images

Collaborators (3)

Bruno Adriano

Michiko SHIGEFUJI

Masashi Matsuoka

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