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Mots RAMEAU représentant le fonds du centre de documentation
géomatique, géodésie, réseaux (géodésie), systèmes de localisation par satellites,
imagerie satellitaire, traitement d'images, photogrammétrie, lasergrammétrie,
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Document: Article/Communication

Archival aerial photogrammetric surveys, a data source to study land use/cover evolution over the last century : opportunities and issues / Arnaud Le Bris (2019)

Public

Titre :	Archival aerial photogrammetric surveys, a data source to study land use/cover evolution over the last century : opportunities and issues
Type de document :	Article/Communication
Auteurs :	Arnaud Le Bris , Auteur ; Sébastien Giordano , Auteur
Editeur :	Leibniz : Leibniz Institute of Ecological Urban and Regional Development
Année de publication :	2019
Conférence :	ILUS 2019, 3rd International land use symposium, Land use changes: Trends and projections 04/12/2019 06/12/2019 Paris France programme sans actes
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Applications photogrammétriques [Termes IGN] automatisation [Termes IGN] chaîne de traitement [Termes IGN] détection de changement [Termes IGN] égalisation radiométrique [Termes IGN] géoréférencement indirect [Termes IGN] image numérisée [Termes IGN] modèle numérique de surface [Termes IGN] occupation du sol [Termes IGN] orientation absolue [Termes IGN] orthoimage [Termes IGN] orthophotoplan argentique [Termes IGN] vingtième siècle
Résumé :	(auteur) Images from archival aerial photogrammetric surveys are a unique and relatively unexplored means to chronicle 3D land-cover changes occurred since the mid20th century. They provide a relatively dense temporal sampling of the territories with very high spatial resolution. Thus, they offer time series data which can answer to a large variety of long-term environmental monitoring studies. Besides, they are generally stereoscopic surveys, making it possible to derive 3D information (Digital Surface Models). In recent years, they have often been digitized, making them more suitable to be considered in automatic analyses processes. For instance, IGN (the French national mapping agency) has digitized its archival aerial photogrammetric surveys: images can be downloaded from a web service (http://remonterletemps.ign.fr/) Thus, archival aerial photogrammetric surveys appear as being a powerful remote sensing data source to study land use/cover evolution over the last century. However, several difficulties have to be faced to be able to use them in automatic analysis processes. A first bottleneck for accurate comparison between epochs is their fine georeferencing. Such information has generally been lost and must be retrieved. No fully automatic method has been proposed yet and existing studies are rather limited in terms of area and number of dates. State-of-the-art shows that one major challenge is the identification of ground references: cartographic coordinates and their position in the archival images. This task is often manually performed, and extremely time-consuming. This contribution proposes to use a photogrammetric approach, and states that the 3D information that can be computed is the key to full automation. Its original idea lies in a the use of the coarse absolute image orientation from existing metadata to derive coarse Digital Surface Model (DSM) and orthoimage that are then used to improve absolute image orientation. It only relies on a recent orthoimage+DSM, used as master reference for all epochs. The coarse orthoimage, compared with such a reference, allows the identification of dense ground references and the coarse DSM provides their position in the archival images. A new iteration of the georeferencing process can then be done using these ground references. At the end, images orientation is retrieved and orthoimages as well as digital surface models can be computed for each epoch. Another issue is the radiometric equalization of images (to remove atmospheric as well as vignetting effects), in order to obtain a homogeneous mosaic suitable with automatic classification processes. Last but not least, surveys available on a study area can exhibit very different characteristics: survey pattern, focal, spatial resolution, modality (panchromatic, color, infrared...). Planimetric and altimetric accuracies of derived products depend on these characteristics. Thus, automatic change detection and analysis processes have to cope with these uncertainties.
Numéro de notice :	C2019-069
Affiliation des auteurs :	LASTIG MATIS (2012-2019)
Thématique :	IMAGERIE
Nature :	Communication
nature-HAL :	ComSansActesPubliés-Unpublished
DOI :	sans
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=97024

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IGN

IGN / ENSG

Centre de documentation
scientifique
6 et 8 Avenue Blaise Pascal
Cité Descartes
Champs-sur-Marne
77455 Marne la Vallée
Cedex 2
L'IGN a pour vocation

de décrire la surface du territoire national et l'occupation de son sol, et d'élaborer et de mettre à jour l'inventaire permanent des ressources forestières nationales.
Accès directs
2014 -2024 IGN