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Communication Dans Un Congrès Année : 2017

Fully automatic analysis of archival aerial images current status and challenges

Résumé

Archival aerial images are a unique and relatively unexplored means to generate detailed land-cover information in 3D over the past 100 years. Many long-term environmental monitoring studies can be based on this type of image series. Such data provide a relatively dense temporal sampling of the territories with very high spatial resolution. Furthermore, photogrammetric workflows exist in order to both produce orthoimages and Digital Surface Models, with reasonable interactive actions. However, today, there is no fully automatic pipeline for generating such kind of data. This paper presents the main avenues of research in order to develop such workflow, starting from registration and radiometric issues up to land-cover classification challenges.
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Dates et versions

hal-02386684 , version 1 (29-11-2019)

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Sébastien Giordano, Arnaud Le Bris, Clément Mallet. Fully automatic analysis of archival aerial images current status and challenges. 2017 Joint Urban Remote Sensing Event (JURSE), Mar 2017, Dubai, United Arab Emirates. pp.1-4, ⟨10.1109/JURSE.2017.7924620⟩. ⟨hal-02386684⟩

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