Mutual superimposing of SAR and ground-level shooting images mediated by intermediate multi-altitude images
Hisatoshi Toriya,
Narihiro Owada,
Mahdi Saadat,
Fumiaki Inagaki,
Ashraf Dewan,
Youhei Kawamura,
Itaru Kitahara
Affiliations
Hisatoshi Toriya
Faculty of International Resource Sciences, Akita University, Japan; Center for Computational Sciences, University of Tsukuba, Japan; Corresponding author. Faculty of International Resource Sciences, Akita University, Japan.
Narihiro Owada
Faculty of International Resource Sciences, Akita University, Japan
Mahdi Saadat
Faculty of International Resource Sciences, Akita University, Japan
Fumiaki Inagaki
Faculty of International Resource Sciences, Akita University, Japan
Ashraf Dewan
School of Earth and Planetary Sciences, Curtin University, Australia
Youhei Kawamura
Faculty of Engineering, Hokkaido University, Japan
Itaru Kitahara
Center for Computational Sciences, University of Tsukuba, Japan
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.
