Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Yoshihide Seki"'
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 846-862 (2024)
Abstract The data article describes the Road Damage Dataset, RDD2022, encompassing of 47,420 road images from majorly six countries, Japan, India, the Czech Republic, Norway, the United States, and China. The dataset incorporates over 55,000 instance
Externí odkaz:
https://doaj.org/article/e1eae055bd7b4891b7418b49890bcca2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Given the worldwide increase of forcibly displaced populations, particularly internally displaced persons (IDPs), it’s crucial to have an up-to-date and precise tracking framework for population movements. Here, we study how the spatial an
Externí odkaz:
https://doaj.org/article/324ab370c1f14f46bcf968867b3dbbf8
Autor:
Takuzo Yamashita, Yoshihide Sekimoto, Mikio Koshihara, Takafumi Nakagawa, Hideyuki O-Tani, Toshihiko Horiuchi
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 0, Iss 0, Pp 1-19 (2024)
Access to a wide range of information tailored to specific purposes, including extensive damage projections and statistics for target areas and the potential for individual building and dwelling damage predicted through simulations, enhances cities
Externí odkaz:
https://doaj.org/article/34b0f6ab28a64769bb9d3f0ee0fa9c8e
Autor:
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, Alex Pentland
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications including transportation modeling, disaster management, and urban planning. The recent availability of large-scale human movemen
Externí odkaz:
https://doaj.org/article/7101fc11feb1499284da9bc198c7111f
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
Deep learning-based building extraction methods have widespread applications in diverse fields. However, the evaluation of large-scale extraction results remains challenging, due to traditional evaluation metrics rely on manually created ground-truth
Externí odkaz:
https://doaj.org/article/59778db46f0940c5a5eda06b6e9f8a64
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0296445 (2024)
Currently, the Ministry of Land, Infrastructure, Transport, and Tourism (Japan) is in the process of developing an open 3D city model known as PLATEAU. Abundant measurement data related to buildings, including maps produced by private companies and m
Externí odkaz:
https://doaj.org/article/137cb6ba5b614c11b1026bbd1f076190
Autor:
Yoshihide Seki, Yuka Nishibori, Tatsuo Chiba, Etsuko Shinohara, Hiroyoshi Kato, Sumiko Hiura, Takashi Yoshio, Risa Kimura, Yuji Hoshino, Hideki Kobayashi, Taeko Yokoi
Publikováno v:
Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 42:468-475
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1858 (2024)
For accurate urban planning, three-dimensional (3D) building models with a high level of detail (LOD) must be developed. However, most large-scale 3D building models are limited to a low LOD of 1–2, as the creation of higher LOD models requires the
Externí odkaz:
https://doaj.org/article/6da08e0f67584e57aef4cb68e084b01c
Publikováno v:
IEEE Access, Vol 11, Pp 69486-69494 (2023)
Prediction of accurate wind speed is necessary for a variety of applications such as energy production, agriculture, climate modeling, and weather forecasting. Various satellites orbiting the earth measure the wind speed, which is particularly useful
Externí odkaz:
https://doaj.org/article/da2d39b836154d17aa3cc862ce6d9b8b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1740-1755 (2023)
The built year and structure of individual buildings are crucial factors for estimating and assessing potential earthquake and tsunami damage. Recent advances in sensing and analysis technologies allow the acquisition of high-resolution street view i
Externí odkaz:
https://doaj.org/article/8a9b36e8ba5542f1a008d91570fd9162