| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-07-08 |
| タイトル |
|
|
タイトル |
Exploring the Application of NeRF in Enhancing Post-Disaster Response: A Case Study of the Sasebo Landslide in Japan |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
photogrammetry |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
neural radiance fields |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
landslide |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
3D reconstruction |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 著者 |
Zhang, Jinge
Du, Yan
Jiang, Yujing
Zhang, Sunhao
Chen, Hongbin
Shang, Dongqi
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Rapid acquisition of 3D reconstruction models of landslides is crucial for post-disaster emergency response and rescue operations. This study explores the application potential of Neural Radiance Fields (NeRF) technology for rapid post-disaster site modeling and performs a comparative analysis with traditional photogrammetry methods. Taking a landslide induced by heavy rainfall in Sasebo City, Japan, as a case study, this research utilizes drone-acquired video imagery data and employs two different 3D reconstruction techniques to create digital models of the landslide area. Visual realism and point cloud detail were compared. The results indicate that the high-capacity NeRF model (NeRF 24G) approaches or even surpasses traditional photogrammetry in visual realism under certain scenarios; however, the generated point clouds are inferior in terms of detail compared to those produced by traditional photogrammetry. Nevertheless, NeRF significantly reduces the modeling time. NeRF 6G can generate a point cloud of engineering-useful accuracy in only 45 min, providing a 3D overview of the disaster site to support emergency response efforts. In the future, integrating the advantages of both methods could enable rapid and precise post-disaster 3D reconstruction. |
|
言語 |
en |
| 書誌情報 |
en : ISPRS International Journal of Geo-Information
巻 14,
号 6,
p. art. no. 218,
発行日 2025-05-30
|
| 出版者 |
|
|
出版者 |
MDPI |
|
言語 |
en |
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2220-9964 |
| DOI |
|
|
関連タイプ |
isIdenticalTo |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.3390/ijgi14060218 |
| 権利 |
|
|
権利情報 |
© 2025 by the authors. Published by MDPI on behalf of the International Society for Photogrammetry and Remote Sensing. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
|
言語 |
en |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 引用 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
ISPRS International Journal of Geo-Information, 14(6), art. no. 218; 2025 |
|
言語 |
en |
ISPRSIJG14_218.pdf (8 MB)
