| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2022-10-24 |
| タイトル |
|
|
タイトル |
Mutual superimposing of SAR and ground-level shooting images mediated by intermediate multi-altitude images |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Image registration |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Keypoint matching |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Synthetic aperture radar (SAR) |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Remote sensing |
| 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 |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 作成者 |
Toriya, Hisatoshi
Owada, Narihiro
Saadata, Mahdi
Inagaki, Fumiaki
Dewan, Ashraf
Kawamura, Youhei
Kitahara, Itaru
|
| 内容記述 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
When satellite-based SAR (Synthetic Aperture Radar) images and images acquired from the ground are registered, they offer a wealth of information such as topographic, vegetation or water surface to be extracted from the ground-level shooting images. Simultaneously, high temporal-resolution and high spatial-resolution information obtained by the ground-level shooting images can be superimposed on satellite images. However, due to the differences in imaging modality, spatial resolutions, and observation angle, it was not easy to directly extract the corresponding points between them. This paper proposes an image registration method to estimate the correspondence between SAR images and ground-level shooting images through a set of multi-altitude images taken at different heights. |
|
言語 |
en |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 書誌情報 |
en : Array
巻 12,
発行日 2021
|
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2590-0056 |
| 出版者 |
|
|
出版者 |
Elsevier Inc. |
| 関連情報 |
|
|
関連タイプ |
isIdenticalTo |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1016/j.array.2021.100102 |
| 権利情報 |
|
|
権利情報 |
© 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
kokuA_2022_4.pdf (19.4 MB)
