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

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Geoscience and Remote Sensing Symposium
Pages3629-3632
ISBN (Electronic)978-1-5386-9154-0
Publication statusPublished - 2019
EventIGARSS 2019: 39th IEEE International Geoscience and Remote Sensing Symposium - Yokohama, Japan
Duration: 28 Jul 20192 Aug 2019

Conference

ConferenceIGARSS 2019
CountryJapan
CityYokohama
Period28/07/192/08/19

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  • Cite this

    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 (pp. 3629-3632)