Automation Aspects for the Georeferencing of Photogrammetric Aerial Image Archives in Forested Scenes

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dc.contributor University of Helsinki, Department of Forest Sciences en
dc.contributor University of Helsinki, Department of Forest Sciences en
dc.contributor University of Helsinki, Department of Forest Sciences en
dc.contributor University of Helsinki, Department of Forest Sciences en
dc.contributor University of Helsinki, Department of Forest Sciences en
dc.contributor.author Nurminen, Kimmo
dc.contributor.author Litkey, Paula
dc.contributor.author Honkavaara, Eija
dc.contributor.author Vastaranta, Mikko
dc.contributor.author Holopainen, Markus
dc.contributor.author Lyytikäinen-Saarenmaa, Päivi
dc.contributor.author Kantola, Tuula
dc.contributor.author Lyytikäinen, Minna
dc.date.accessioned 2016-01-12T13:14:10Z
dc.date.available 2016-01-12T13:14:10Z
dc.date.issued 2015
dc.identifier.citation Nurminen , K , Litkey , P , Honkavaara , E , Vastaranta , M , Holopainen , M , Lyytikäinen-Saarenmaa , P , Kantola , T & Lyytikäinen , M 2015 , ' Automation Aspects for the Georeferencing of Photogrammetric Aerial Image Archives in Forested Scenes ' , Remote Sensing , vol. 7 , no. 2 , pp. 1565-1593 . https://doi.org/10.3390/rs70201565 en
dc.identifier.issn 2072-4292
dc.identifier.other PURE: 48780194
dc.identifier.other PURE UUID: 84b20ddf-644c-449d-92ed-29e5285eb4ea
dc.identifier.other WOS: 000352400900020
dc.identifier.other Scopus: 84928805096
dc.identifier.other ORCID: /0000-0003-1884-3084/work/41082558
dc.identifier.other ORCID: /0000-0002-1683-016X/work/30288980
dc.identifier.other ORCID: /0000-0001-6552-9122/work/29615013
dc.identifier.other ORCID: /0000-0003-2328-8839/work/30217852
dc.identifier.uri http://hdl.handle.net/10138/159389
dc.description.abstract Photogrammetric aerial film image archives are scanned into digital form in many countries. These data sets offer an interesting source of information for scientists from different disciplines. The objective of this investigation was to contribute to the automation of a generation of 3D environmental model time series when using small-scale airborne image archives, especially in forested scenes. Furthermore, we investigated the usability of dense digital surface models (DSMs) generated using these data sets as well as the uncertainty propagation of the DSMs. A key element in the automation is georeferencing. It is obvious that for images captured years apart, it is essential to find ground reference locations that have changed as little as possible. We studied a 68-year-long aerial image time series in a Finnish Karelian forestland. The quality of candidate ground locations was evaluated by comparing digital DSMs created from the images to an airborne laser scanning (ALS)-originated reference DSM. The quality statistics of DSMs were consistent with the expectations; the estimated median root mean squared error for height varied between 0.3 and 2 m, indicating a photogrammetric modelling error of 0.1 parts per thousand with respect to flying height for data sets collected since the 1980s, and 0.2 parts per thousand for older data sets. The results show that of the studied land cover classes, "peatland without trees" changed the least over time and is one of the most promising candidates to serve as a location for automatic ground control measurement. Our results also highlight some potential challenges in the process as well as possible solutions. Our results indicate that using modern photogrammetric techniques, it is possible to reconstruct 3D environmental model time series using photogrammetric image archives in a highly automated way. en
dc.format.extent 29
dc.language.iso eng
dc.relation.ispartof Remote Sensing
dc.rights en
dc.subject CAMERA CALIBRATION en
dc.subject CADASTRAL MAPS en
dc.subject PHOTOGRAPHS en
dc.subject MODELS en
dc.subject LIDAR en
dc.subject GENERATION en
dc.subject 4112 Forestry en
dc.title Automation Aspects for the Georeferencing of Photogrammetric Aerial Image Archives in Forested Scenes en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.3390/rs70201565
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/publishedVersion
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