Erick Mas

Orcid: 0000-0002-4861-5739

According to our database1, Erick Mas authored at least 29 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Exploring the Feasibility of Ray Tracing SAR Simulation on Building Damage Assessment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Building Damage Mapping of the 2024 Noto Peninsula Earthquake, Japan, Using Semi-Supervised Learning and VHR Optical Imagery.
IEEE Geosci. Remote. Sens. Lett., 2024

Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring.
CoRR, 2024

Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning.
CoRR, 2024

Flood Data Analysis on SpaceNet 8 Using Apache Sedona.
CoRR, 2024

Assessment of Deep Learning Models Trained Using Global Remote Sensing Imagery in Real-Context Emergency Response.
Proceedings of the IGARSS 2024, 2024

Comparative Analysis of Detailed Features in 3D Models for SAR Simulation.
Proceedings of the IGARSS 2024, 2024

Urban Vulnerability Analysis in the Tributary Basin of the Rimac River, Peru Using High-Resolution Remote Sensing Imagery.
Proceedings of the IGARSS 2024, 2024

A Case-Based Reasoning Framework Augmented with Causal Graph Bayesian Networks for Multi-Hazard Assessment of Earthquake Impacts.
Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), 2024

2023
Flood Inundation Depth Estimation from SAR-Based Flood Extent and DEM.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Sparse Representation-Based Inundation Depth Estimation Using SAR Data and Digital Elevation Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood.
Proceedings of the Database and Expert Systems Applications, 2022

2021
Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework.
Remote. Sens., 2021

Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets.
Remote. Sens., 2021

Automatic Collection of Training Samples for Flooded Areas.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset.
Remote. Sens., 2020

Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon.
Remote. Sens., 2020

Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets.
Remote. Sens., 2020

2019
Drawback in the Change Detection Approach: False Detection during the 2018 Western Japan Floods.
Remote. Sens., 2019

2018
Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions.
Remote. Sens., 2018

New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images.
Remote. Sens., 2018

Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami.
Remote. Sens., 2018

A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2018

2015
Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Tsunami evacuation simulation - case studies for tsunami mitigation at Indonesia, Thailand and Japan.
Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Damage detection due to the typhoon haiyan from high-resolution SAR images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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