| Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach S Chen, Y Ogawa, C Zhao, Y Sekimoto ISPRS Journal of Photogrammetry and Remote Sensing 195, 129-152, 2023 | 81 | 2023 |
| Deep learning approach for classifying the built year and structure of individual buildings by automatically linking street view images and GIS building data Y Ogawa, C Zhao, T Oki, S Chen, Y Sekimoto IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 15 | 2023 |
| Quantitative land price analysis via computer vision from street view images C Zhao, Y Ogawa, S Chen, T Oki, Y Sekimoto Engineering Applications of Artificial Intelligence 123, 106294, 2023 | 14 | 2023 |
| Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning S Yang, Y Ogawa, K Ikeuchi, Y Akiyama, R Shibasaki Proceedings of the 2nd ACM SIGSPATIAL international workshop on GeoSpatial …, 2019 | 14 | 2019 |
| Evaluating the subjective perceptions of streetscapes using street-view images Y Ogawa, T Oki, C Zhao, Y Sekimoto, C Shimizu Landscape and Urban Planning 247, 105073, 2024 | 11 | 2024 |
| Label freedom: Stable diffusion for remote sensing image semantic segmentation data generation C Zhao, Y Ogawa, S Chen, Z Yang, Y Sekimoto 2023 IEEE International Conference on Big Data (BigData), 1022-1030, 2023 | 11 | 2023 |
| Road-reconstruction after multi-locational flooding in multi-agent deep RL with the consideration of human mobility-Case study: Western Japan flooding in 2018 S Joo, Y Ogawa, Y Sekimoto International Journal of Disaster Risk Reduction 70, 102780, 2022 | 11 | 2022 |
| Estimation of supply chain network disruption of companies across the country affected by the Nankai Trough Earthquake tsunami in Kochi City Y Ogawa, Y Akiyama, M Yokomatsu, Y Sekimoto, R Shibasaki Journal of Disaster Research 14 (3), 508-520, 2019 | 10 | 2019 |
| Evaluation of catastrophic earthquake damage throughout Japan using estimated micro data Y Ogawa, Y Akiyama, R Shibasaki CUPUM2013 conference papers 103, 1-30, 2013 | 10 | 2013 |
| Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan K Kajiwara, J Ma, T Seto, Y Sekimoto, Y Ogawa, H Omata Computers, Environment and Urban Systems 98, 101873, 2022 | 9 | 2022 |
| Joining street-view images and building footprint gis data Y Ogawa, T Oki, S Chen, Y Sekimoto Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching …, 2021 | 7 | 2021 |
| Model for estimation of building structure and built year using building façade images and attributes obtained from a real estate database T Oki, Y Ogawa Urban Informatics and Future Cities, 549-573, 2021 | 7 | 2021 |
| Developing a model for estimating the home return of evacuees based on the 2011 Tohoku earthquake tsunami—Utilizing mobile phone GPS big data Y Ogawa, T Sato, Y Akiyama, R Shibasaki, Y Sekimoto Advances and New Trends in Environmental Informatics: Managing Disruption …, 2018 | 7 | 2018 |
| Modelling the behaviour of corporations during the flood damage recovery process using multi‐agent deep reinforcement learning S Yang, Y Ogawa, K Ikeuchi, R Shibasaki, Y Okuma Journal of Flood Risk Management 15 (4), e12845, 2022 | 5 | 2022 |
| Large-Scale Building Footprint Extraction from Open-Sourced Satellite Imagery via Instance Segmentation Approach S Chen, Y Ogawa, C Zhao, Y Sekimoto IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 5 | 2022 |
| Estimation of earthquake damage to urban environments using sparse modeling Y Ogawa, Y Sekimoto, R Shibasaki Environment and Planning B: Urban Analytics and City Science 48 (5), 1075-1090, 2021 | 5 | 2021 |
| Estimation of the economic impact of large-scale flooding in the Tokyo metropolitan area S Yang, R Shibasaki, Y Ogawa, K Ikeuchi, Y Akiyama 2018 IEEE International Conference on Big Data (Big Data), 3191-3200, 2018 | 4 | 2018 |
| Evaluating the damage of great earthquakes in aggregate units based on detailed population distribution for each time frame Y Ogawa, Y Akiyama, H Kanasugi, H Sengoku, R Shibasaki Proceedings of the CUPUM, 1-18, 2015 | 4 | 2015 |
| Post-hazard supply chain disruption: Predicting firm-level sales using graph neural network S Yang, Y Ogawa, K Ikeuchi, R Shibasaki, Y Okuma International Journal of Disaster Risk Reduction 110, 104664, 2024 | 3 | 2024 |
| People Flow Trend Estimation Approach and Quantitative Explanation Based on the Scene Level Deep Learning of Street View Images C Zhao, Y Ogawa, S Chen, T Oki, Y Sekimoto Remote Sensing 15 (5), 1362, 2023 | 3 | 2023 |
