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CNN semantic segmentation to retrieve past land cover out of historical orthoimages and DSM: first experiments / Arnaud Le Bris in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2 (August 2020)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > V-2 (August 2020) . - pp 1013 - 1019 Titre : CNN semantic segmentation to retrieve past land cover out of historical orthoimages and DSM: first experiments Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Sébastien Giordano , Auteur ; Clément Mallet , Auteur Congrès : Congrès: ISPRS 2020, virtual Congress Imaging today foreseeing tomorrow (31 aout - 2 septembre 2020; Nice, France), Auteur Année de publication : 2020 Projets : HIATUS / Giordano, Sébastien Article en page(s) : pp 1013 - 1019 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] classification par réseau neuronal convolutif [Termes descripteurs IGN] image aérienne [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] orthoimage [Termes descripteurs IGN] segmentation sémantique Résumé : (auteur) Images from archival aerial photogrammetric surveys are a unique and relatively unexplored means to chronicle 3D land-cover changes occurred since the mid 20th century. They provide a relatively dense temporal sampling of the territories with a very high spatial resolution. Thus, they offer time series data which can answer 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. Some photogrammetric softwares make it possible to retrieve their geometry (pose and camera calibration) and to generate corresponding DSM and orthophotomosaic. 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. Indeed, surveys available on a study area can exhibit very different characteristics: survey pattern, focal, spatial resolution, modality (panchromatic, colour, infrared…). Planimetric and altimetric accuracies of derived products strongly depend on these characteristics. Thus, analysis processes have to cope with these uncertainties. Another important gap states in the lack of training data. Deep learning methods and especially Convolutional Neural Networks (CNN) are at present the most efficient semantic segmentation methods as long as a sufficient training dataset is available. However, temporal gaps can be very important between existing available databases and archival data. In this study, two custom variants of simple yet effective U-net - Deconv-Net inspired DL architectures are developed to process ortho-image and DSM based information. They are then trained out of a groundtruth derived out of a recent database to process archival datasets. Numéro de notice : A2020-469 Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprs-annals-V-2-2020-1013-2020 date de publication en ligne : 03/08/2020 En ligne : https://doi.org/10.5194/isprs-annals-V-2-2020-1013-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95637 [article]

Geometric distortion of historical images for 3D visualization / Evelyn Paiz-Reyes in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2 (August 2020)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > V-2 (August 2020) . - pp 649 - 655 Titre : Geometric distortion of historical images for 3D visualization Type de document : Article/Communication Auteurs : Evelyn Paiz-Reyes , Auteur ; Mathieu Brédif , Auteur ; Sidonie Christophe , Auteur Congrès : Congrès: ISPRS 2020, virtual Congress Imaging today foreseeing tomorrow (31 aout - 2 septembre 2020; Nice, France), Commanditaire Année de publication : 2020 Projets : Alegoria / Gouet-Brunet, Valérie Article en page(s) : pp 649 - 655 Note générale : bibliographie Dans HAL, https://hal.archives-ouvertes.fr/hal-02863366v1 Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] distorsion d'image [Termes descripteurs IGN] modèle de déformation des images [Termes descripteurs IGN] photographie numérisée [Termes descripteurs IGN] rendu (géovisualisation) [Termes descripteurs IGN] scène 3D [Termes descripteurs IGN] visualisation 3D [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Archivists, historians and national mapping agencies, among others, are archiving large datasets of historical photographs. Nevertheless, the capturing devices used to acquire these images possessed a diversity of effects that influenced the quality of the final resulting picture, e.g. geometric distortion, chromatic aberration, depth of field variation, etc. This paper examines singularly the topic of geometric distortion for a co-visualization of historical photos within a 3D model of the photographed scene. A distortion function of an image is ordinarily estimated only on the image domain by adjusting its parameters to observations of point correspondences. This mathematical function may exhibit overfits, oscillations or may not be well defined outside of this domain. The contribution of this work is the description of a distortion model defined on the whole undistorted image plane. We extrapolate the distortion estimated only on the image domain and then transfer this distortion information to the view of the 3D scene. This enables to look at the scene through an estimated camera and zoom out to see the context around the original photograph with a well-defined and behaved distortion. These findings may be a significant addition to the overall purpose of creating innovative ways to examine and visualize old photographs. Numéro de notice : A2020-468 Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprs-annals-V-2-2020-649-2020 date de publication en ligne : 03/08/2020 En ligne : https://doi.org/10.5194/isprs-annals-V-2-2020-649-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95537 [article]

Historical collaborative geocoding / Rémi Cura in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)    

Public [article]  inISPRS International journal of geo-information > vol 7 n° 7 (July 2018) Titre : Historical collaborative geocoding Type de document : Article/Communication Auteurs : Rémi Cura, Auteur ; Bertrand Duménieu , Auteur ; Nathalie Abadie , Auteur ; Benoit Costes , Auteur ; Julien Perret , Auteur ; Maurizio Gribaudi, Auteur Année de publication : 2018 Projets : Belle Epoque / Riva, Angelo Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] géocodage [Termes descripteurs IGN] géocodage par adresse postale [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] interface web [Termes descripteurs IGN] jeu de données [Termes descripteurs IGN] objet géohistorique [Termes descripteurs IGN] Paris (75) [Termes descripteurs IGN] répertoire toponymique [Termes descripteurs IGN] science citoyenne [Termes descripteurs IGN] sciences humaines numériques [Termes descripteurs IGN] traitement de données localisées Résumé : (auteur) The latest developments in the field of digital humanities have increasingly enabled the construction of large data sets which can be easily accessed and used. These data sets often contain indirect spatial information, such as historical addresses. Historical geocoding is the process of transforming indirect spatial information into direct locations which can be placed on a map, thus allowing for spatial analysis and cross-referencing. There are many geocoders that work efficiently for current addresses. However, these do not tackle temporal information, and usually follow a strict hierarchy (country, city, street, house number, etc.) which is difficult—if not impossible—to use with historical data. Historical data is filled with uncertainty (pertaining to temporal, textual, and positional accuracy, as well as to the reliability of historical sources) which can neither be ignored nor entirely resolved. Our open source, open data, and extensible solution for geocoding is based on extracting a large number of simple gazetteers composed of geohistorical objects, from historical maps. Geocoding a historical address becomes the process of finding one or several geohistorical objects in the gazetteers which best match the historical address searched by the user. The matching criteria are customisable, weighted, and include several dimensions (fuzzy string, fuzzy temporal, level of detail, positional accuracy). Since our goal is to facilitate historical work, we also put forward web-based user interfaces which help geocode (one address or batch mode) and display results over current or historical maps. Geocoded results can then be checked and edited collaboratively (no source is modified). The system was tested on the city of Paris, France, for the 19th and 20th centuries. It showed high response rates and worked quickly enough to be used interactively. Numéro de notice : A2018-389 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7070262 date de publication en ligne : 04/07/2018 En ligne : https://doi.org/10.3390/ijgi7070262 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90804 [article]

Documents numériques

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Extraction of spatio‐temporal data about historical events from text documents / Susanna Abraham in Transactions in GIS, vol 22 n° 3 (June 2018)  

Public [article]  inTransactions in GIS > vol 22 n° 3 (June 2018) . - pp 677 - 696 Titre : Extraction of spatio‐temporal data about historical events from text documents Type de document : Article/Communication Auteurs : Susanna Abraham, Auteur ; Stephan Mäs, Auteur ; Lars Bernard, Auteur Année de publication : 2018 Article en page(s) : pp 677 - 696 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] histoire [Termes descripteurs IGN] recherche d'information géographique [Termes descripteurs IGN] Time-geography [Termes descripteurs IGN] traitement du langage naturel Résumé : (Auteur) Often, we are faced with questions regarding past events and the answers are hidden in the historical text archives. The growing developments in geographic information retrieval and temporal information retrieval techniques have given new ways to explore digital text archives for spatio‐temporal data. The question is how to retrieve the answers from the text documents. This work contributes to a better understanding of spatio‐temporal information extraction from text documents. Natural language processing techniques were used to develop an information extraction approach using the GATE language processing software. The developed framework uses gazetteer matching, spatio‐temporal relationship extraction and pattern‐based rules to recognize and annotate elements in historical text documents. The extracted spatio‐temporal data is used as input for GIS studies on the time–geography context of the German–Herero resistance war of 1904 in Namibia. Related issues when analyzing the historical data in current GIS are discussed. Particularly problematic are movement data in small scale with poor temporal density and trajectories that are short or connect very distant locations. Numéro de notice : A2018-577 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12448 date de publication en ligne : 17/08/2018 En ligne : https://doi.org/10.1111/tgis.12448 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92324 [article]

Live fuel moisture content (LFMC) time series for multiple sites and species in the French Mediterranean area since 1996 / N. Martin-St Paul in Annals of Forest Science [en ligne], vol 75 n° 2 (June 2018)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 75 n° 2 (June 2018) Titre : Live fuel moisture content (LFMC) time series for multiple sites and species in the French Mediterranean area since 1996 Type de document : Article/Communication Auteurs : N. Martin-St Paul, Auteur ; François Pimont, Auteur ; Jean-Luc Dupuy, Auteur ; Eric Rigolot, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] bassin méditerranéen [Termes descripteurs IGN] France (administrative) [Termes descripteurs IGN] incendie [Termes descripteurs IGN] indice d'humidité [Termes descripteurs IGN] prévention des risques [Termes descripteurs IGN] sécheresse [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] surveillance de la végétation [Termes descripteurs IGN] teneur en eau de la végétation [Vedettes matières IGN] Végétation et changement climatique Résumé : (Auteur) Key message: We present a dataset of weekly live fuel moisture content (LFMC) time series over the summer season for 584 sites × years for several woody species in the French Mediterranean area. This database can be used to develop fire danger models and remote sensing products as well as to understand the physiological drivers of LFMC. Numéro de notice : A2018-322 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-018-0729-3 date de publication en ligne : 07/05/2018 En ligne : https://doi.org/10.1007/s13595-018-0729-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90463 [article]

Les Géoservices IGN : des services divers et innovants pour aller plus loin avec la donnée géographique / Sofiane Kriat in XYZ, n° 151 (juin - août 2017)

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A simplified linear feature matching method using decision tree analysis, weighted linear directional mean, and topological relationships / Ick-Hoi Kim in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)  

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Agricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests / M.F.A. Vogels in International journal of applied Earth observation and geoinformation, vol 54 (February 2017)  

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EuroSDR seminar report Graphical interfaces for historical data / Bénédicte Bucher (2017)    

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Automatic delineation of built-up area at urban block level from topographic maps / Sebastian Muhs in Computers, Environment and Urban Systems, vol 58 (July 2016)  

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Des données spatio-temporelles aux dynamiques urbaines / Julien Perret (2016) 

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Advances in cartography and GIScience: selection from ICC [International Cartographic Conference] 2011, 2. Volume 2 / Anne Ruas (2011)

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Méthode de constitution de bases de données historiques pour le suivi des tissus urbains / Anne Puissant in Géomatique expert, n° 75 (01/06/2010)

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Proceedings of the GIS Research UK, 12th Annual Conference, University of East Anglia, Norwich, 28th - 30th April 2004 / School of Environment Sciences (Norfolk, Norwich) (2004)

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