Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images

Roland Perko, Mathias Schardt, Livia Piermattei, Stefan Auer, Peter M. Roth

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

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.
Originalspracheenglisch
TitelProceedings of the IEEE International Geoscience and Remote Sensing Symposium
Seiten3629-3632
ISBN (elektronisch)978-1-5386-9154-0
PublikationsstatusVeröffentlicht - 2019
VeranstaltungIGARSS 2019: 39th IEEE International Geoscience and Remote Sensing Symposium - Yokohama, Japan
Dauer: 28 Jul 20192 Aug 2019

Konferenz

KonferenzIGARSS 2019
LandJapan
OrtYokohama
Zeitraum28/07/192/08/19

Fingerprint

remote sensing
computer vision
geometry
ground control
photogrammetry
satellite image
analysis

Dies zitieren

Perko, R., Schardt, M., Piermattei, L., Auer, S., & Roth, P. M. (2019). Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images. in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (S. 3629-3632)

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. S. 3629-3632.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Perko, R, Schardt, M, Piermattei, L, Auer, S & Roth, PM 2019, Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images. in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. S. 3629-3632, Yokohama, Japan, 28/07/19.
Perko R, Schardt M, Piermattei L, Auer S, Roth PM. Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images. in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. 2019. S. 3629-3632
Perko, Roland ; Schardt, Mathias ; Piermattei, Livia ; Auer, Stefan ; Roth, Peter M. / Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. 2019. S. 3629-3632
@inproceedings{99548cfd42dd494d9c826b1da9667a8c,
title = "Multiple View Geometry in Remote Sensing: An Empirical Study based on Pl{\'e}iades Satellite Images",
abstract = "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 Pl{\'e}iades 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.",
author = "Roland Perko and Mathias Schardt and Livia Piermattei and Stefan Auer and Roth, {Peter M.}",
year = "2019",
language = "English",
pages = "3629--3632",
booktitle = "Proceedings of the IEEE International Geoscience and Remote Sensing Symposium",

}

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 -