Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Geoscience and Remote Sensing Symposium |
| Pages | 3629-3632 |
| ISBN (Electronic) | 978-1-5386-9154-0 |
| Publication status | Published - 2019 |
| Event | IGARSS 2019: 39th IEEE International Geoscience and Remote Sensing Symposium - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 |
Conference
| Conference | IGARSS 2019 |
|---|---|
| Country | Japan |
| City | Yokohama |
| Period | 28/07/19 → 2/08/19 |
Fingerprint
Cite this
Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images. / Perko, Roland; Schardt, Mathias; Piermattei, Livia; Auer, Stefan; Roth, Peter M.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. 2019. p. 3629-3632.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images
AU - Perko, Roland
AU - Schardt, Mathias
AU - Piermattei, Livia
AU - Auer, Stefan
AU - Roth, Peter M.
PY - 2019
Y1 - 2019
N2 - In contrast to the fields of computer vision and photogrammetry, multiple view geometry has not been extensively exploited in the remote sensing domain so far. Therefore, an empirical study is conducted based on multi view Pléiades data that depicts a scene from multiple orbits and multiple incidence angles. First, an accuracy analysis of the 2D and 3D geo-location performance is elaborated showing that ground control points can be modelled with a root mean square residual error below 30 cm in East, North, and height. Second, digital surface models are reconstructed from all possible stereo pairs and are additionally fused in the multiple view geometry sense. It is shown that employing more data increases the accuracy of the digital surface model while reducing the amount of the nonreconstructed regions.
AB - In contrast to the fields of computer vision and photogrammetry, multiple view geometry has not been extensively exploited in the remote sensing domain so far. Therefore, an empirical study is conducted based on multi view Pléiades data that depicts a scene from multiple orbits and multiple incidence angles. First, an accuracy analysis of the 2D and 3D geo-location performance is elaborated showing that ground control points can be modelled with a root mean square residual error below 30 cm in East, North, and height. Second, digital surface models are reconstructed from all possible stereo pairs and are additionally fused in the multiple view geometry sense. It is shown that employing more data increases the accuracy of the digital surface model while reducing the amount of the nonreconstructed regions.
M3 - Conference contribution
SP - 3629
EP - 3632
BT - Proceedings of the IEEE International Geoscience and Remote Sensing Symposium
ER -