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Titre : the EUROSDR time benchmark for historical aerial images Type de document : Article/Communication Auteurs : E.M. Farella, Auteur ; L. Morelli, Auteur ; Fabio Remondino, Auteur ; Jon P. Mills, Auteur ; Norbert Haala, Auteur ; Joep Crompvoets, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2022 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 43-B2 Conférence : ISPRS 2022, Commission 2, 24th ISPRS international congress, Imaging today, foreseeing tomorrow 06/06/2022 11/06/2022 Nice France OA ISPRS Archives Importance : pp 1175 - 1182 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] aérotriangulation
[Termes IGN] image aérienne
[Termes IGN] image ancienne
[Termes IGN] image multitemporelle
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] orthophotographieMots-clés libres : benchmark Résumé : (auteur) Automatic photogrammetric processing of historical (or archival) aerial photos is still a challenging task, particularly in cases of missing ancillary information, low radiometric and image quality, limited stereo coverage or large temporal span. However, with recent advances in photogrammetry and Artificial Intelligence (AI) algorithms for image processing and interpretation, an increasing number of applications are now feasible. The article presents the TIME (hisTorical aerIal iMagEs) benchmark (https://time.fbk.eu/), promoted by EuroSDR to explore the potential of historical aerial images. Realized in collaboration with various European NMCAs, the benchmark has garnered aerial image blocks and time series imagery captured since the 1950s. To support the photogrammetric processing of the digitized photos, ancillary data are supplied with available information about flight missions, taking cameras, and ground control points (GCPs). Several diverse investigations have been undertaken with the benchmark datasets, all captured over historical urban areas or landscapes. The paper describes the benchmark datasets and some potential research topics, presenting several tests and analyses realized with the collated and shared data. Numéro de notice : C2022-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B2-2022-1175-2022 Date de publication en ligne : 30/05/2022 En ligne : http://dx.doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100847
Titre : Lessons learned from research on multimedia summarization Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2015 Conférence : ICA 2015, 18th workshop, Commission on Generalisation and Multiple Representation 21/08/2015 11/06/2022 Rio de Janeiro Brésil open access proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation automatique de données
[Vedettes matières IGN] GénéralisationMots-clés libres : benchmark evaluation learning summarization Résumé : (auteur) [introduction] Map generalization is often considered as a cognitive task similar to text summary. Like text summary, generalization seeks to reduce the level of detail of initial data, highlighting the important features regarding a given need, and preserving the main characteristics of the initial data (Ruas 2002). The automation of text summarization is key research topic for language processing scientists, and it should be interesting to verify if the similarities in the human cognitive process lead to similarities in the automation techniques. Moreover, text summarization is a part of the multimedia summarization problem that also includes video and music summarization, and this complete literature is interesting to review. The aim of the paper is also to identify some guidelines for further map generalization research that can be derived from the multimedia summarization research community. This paper first identifies similarities and differences in both automation problems. Then, section 3 proposes ideas from multimedia summarization that could be beneficial for the map generalization community. Finally, the paper is concluded with some ideas for further research opportunities. Numéro de notice : C2015-037 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://generalisation.icaci.org/index.php/prevevents/11-previous-events-details/ [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83249 Documents numériques
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