Yoshiki Ogawa

Orcid: 0000-0002-1987-4520

According to our database1, Yoshiki Ogawa authored at least 23 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models.
Remote. Sens., June, 2024

Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors on Walking Preference: Evidence from Tokyo.
ISPRS Int. J. Geo Inf., April, 2024

Revamping Building Extraction with Yolov8: A Multi-Domain Assessment in Bangkok's Diverse Land-Use-Types.
Proceedings of the IGARSS 2024, 2024

2023
People Flow Trend Estimation Approach and Quantitative Explanation Based on the Scene Level Deep Learning of Street View Images.
Remote. Sens., March, 2023

Deep Learning Approach for Classifying the Built Year and Structure of Individual Buildings by Automatically Linking Street View Images and GIS Building Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Quantitative land price analysis via computer vision from street view images.
Eng. Appl. Artif. Intell., 2023

Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data Generation.
Proceedings of the IEEE International Conference on Big Data, 2023

Predicting Impression Evaluation of Building Exterior Appearance Using Street Image Big Data and Deep Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan.
Comput. Environ. Urban Syst., 2022

Scene Level People Flow Trend Prediction by Swin Transformer.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Large-Scale Building Footprint Extraction from Open-Sourced Satellite Imagery via Instance Segmentation Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Seamless Simulations of Earthquake Disasters and Economy at 1: 1 scale Utilizing Big-data.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Joining Street-View Images and Building Footprint GIS Data.
Proceedings of the GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2021

2019
Earthquake Damage Estimation by Sparse Modeling Using Geospatial Big Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Development of Building Micro Geodata for Earthquake Damage Estimation.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 2019

Study on the relationship between house rent and people congestion by time in Tokyo based on mobile phone GPS data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Estimation of Transactional Network Data Between Branch Offices using Transactional Big Data Throughout Japan.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Estimation of the economic impact of large-scale flooding in the Tokyo metropolitan area.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami - Utilizing Mobile Phone GPS Big Data.
Proceedings of the Advances and New Trends in Environmental Informatics, 2018

2017
Extraction of significant scenarios for earthquake damage estimation using sparse modeling.
Proceedings of the 14th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2017

2013
Fixed order implementation of kernel RLS-DCD adaptive filters.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013


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