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Auteur Jon P. Mills |
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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 GPS precise point positioning for UAV photogrammetry / Ben Grayson in Photogrammetric record, vol 33 n° 164 (December 2018)
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Titre : GPS precise point positioning for UAV photogrammetry Type de document : Article/Communication Auteurs : Ben Grayson, Auteur ; Nigel Penna, Auteur ; Jon P. Mills, Auteur ; Darion S. Grant, Auteur Année de publication : 2018 Article en page(s) : pp 427 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] compensation par faisceaux
[Termes IGN] géoréférencement direct
[Termes IGN] image captée par drone
[Termes IGN] positionnement ponctuel précis
[Termes IGN] structure-from-motionRésumé : (Auteur) The use of Global Positioning System (GPS) precise point positioning (PPP) on a fixed‐wing unmanned aerial vehicle (UAV) is demonstrated for photogrammetric mapping at accuracies of centimetres in planimetry and about a decimetre in height, from flights of 25 to 30 minutes in duration. The GPS PPP estimated camera station positions are used to constrain estimates of image positions in the photogrammetric bundle block adjustment, as with relative GPS positioning. GPS PPP alleviates all spatial operating constraints associated with the installation and the use of ground control points, a local ground GPS reference station or the need to operate within the bounds of a permanent GPS reference station network. This simplifies operational logistics and enables large‐scale photogrammetric mapping from UAVs in even the most remote and challenging geographic locations. Numéro de notice : A2018-621 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12259 Date de publication en ligne : 05/11/2018 En ligne : https://doi.org/10.1111/phor.12259 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92865
in Photogrammetric record > vol 33 n° 164 (December 2018) . - pp 427 - 447[article]Share our cultural heritage (SOCH) : worldwide 3D heritage reconstruction and visualization via Web and mobile GIS / Hari K. Dhonju in ISPRS International journal of geo-information, vol 7 n° 9 (September 2018)
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Titre : Share our cultural heritage (SOCH) : worldwide 3D heritage reconstruction and visualization via Web and mobile GIS Type de document : Article/Communication Auteurs : Hari K. Dhonju, Auteur ; Wen Xiao, Auteur ; Jon P. Mills, Auteur ; Vasilis Sarhosis, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] cartographie collaborative
[Termes IGN] données localisées des bénévoles
[Termes IGN] modélisation 3D
[Termes IGN] patrimoine immobilier
[Termes IGN] production participative
[Termes IGN] web mappingRésumé : (Auteur) Despite being of paramount importance to humanity, tangible cultural heritage is often at risk from natural and anthropogenic threats worldwide. As a result, heritage discovery and conservation remain a huge challenge for both developed and developing countries, with heritage sites often inadequately cared for, be it due to a lack of resources, nonrecognition of the value by local people or authorities, human conflict, or some other reason. This paper presents an online geo-crowdsourcing system, termed Share Our Cultural Heritage (SOCH), which can be utilized for large-scale heritage documentation and sharing. Supported by web and mobile GIS, cultural heritage data such as textual stories, locations, and images can be acquired via portable devices. These data are georeferenced and presented to the public via web-mapping. Using photogrammetric modelling, acquired images are used to reconstruct heritage structures or artefacts into 3D digital models, which are then visualized on the SOCH web interface to enable public interaction. This end-to-end system incubates an online virtual community to encourage public engagement, raise awareness, and stimulate cultural heritage ownership. It also provides valuable resources for cultural heritage exploitation, management, education, and monitoring over time. Numéro de notice : A2018-353 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7090360 Date de publication en ligne : 30/08/2018 En ligne : https://doi.org/10.3390/ijgi7090360 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90587
in ISPRS International journal of geo-information > vol 7 n° 9 (September 2018)[article]In-flight photogrammetric camera calibration and validation via complementary lidar / A.S. Gneeniss in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
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Titre : In-flight photogrammetric camera calibration and validation via complementary lidar Type de document : Article/Communication Auteurs : A.S. Gneeniss, Auteur ; Jon P. Mills, Auteur ; P.E. Miller, Auteur Année de publication : 2015 Article en page(s) : pp 3 - 13 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] ajustement de paramètres
[Termes IGN] analyse comparative
[Termes IGN] auto-étalonnage
[Termes IGN] caméra numérique
[Termes IGN] compensation par faisceaux
[Termes IGN] données lidar
[Termes IGN] étalonnage en vol
[Termes IGN] extraction automatique
[Termes IGN] instrumentation Applanix
[Termes IGN] méthode des moindres carrés
[Termes IGN] point d'appui
[Termes IGN] UltraCamRésumé : (auteur) This research assumes lidar as a reference dataset against which in-flight camera system calibration and validation can be performed. The methodology utilises a robust least squares surface matching algorithm to align a dense network of photogrammetric points to the lidar reference surface, allowing for the automatic extraction of so-called lidar control points (LCPs). Adjustment of the photogrammetric data is then repeated using the extracted LCPs in a self-calibrating bundle adjustment with additional parameters. This methodology was tested using two different photogrammetric datasets, a Microsoft UltraCamX large format camera and an Applanix DSS322 medium format camera. Systematic sensitivity testing explored the influence of the number and weighting of LCPs. For both camera blocks it was found that when the number of control points increase, the accuracy improves regardless of point weighting. The calibration results were compared with those obtained using ground control points, with good agreement found between the two. Numéro de notice : A2015-050 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.019 Date de publication en ligne : 16/05/2014 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75236
in ISPRS Journal of photogrammetry and remote sensing > vol 100 (February 2015) . - pp 3 - 13[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2015021 RAB Revue Centre de documentation En réserve L003 Disponible Factors influencing pulse width of small footprint, full wave form airborne laser scanning data / Y.C. Lin in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 1 (January 2010)
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Titre : Factors influencing pulse width of small footprint, full wave form airborne laser scanning data Type de document : Article/Communication Auteurs : Y.C. Lin, Auteur ; Jon P. Mills, Auteur Année de publication : 2010 Article en page(s) : pp 49 - 59 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] balayage laser
[Termes IGN] classification automatique
[Termes IGN] impulsion laser
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] longueur d'onde
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Small footprint, full waveform airborne laser scanning provides the opportunity to derive high-resolution geometric and physical information simultaneously from a single scanner system. This study evaluates the influence of various factors on the shape of the returned waveform and investigates the possibility of improving terrain classification by applying waveform-derived information. The factors discussed are surface roughness, slope angle, scan angle, amplitude, and footprint size. It is statistically demonstrated that roughness is the most significant factor affecting pulse width, and that, over relatively smooth surfaces, there is no significant variation in pulse width behavior resulting from different footprint sizes. Pulse width also exhibits a relatively stable behavior when amplitude, range distance, or scan angle vary substantially. The overall accuracy of classification achieved by applying pulse width information over all the different land-cover types examined in this study (including scrub, hillside, single trees, and forest areas) was greater than 85 percent, with > 94 percent achieved for open vegetation areas. Physical surface information provided by small footprint waveform data is considered to be at the microscale, therefore it is recommended to combine such information with geometry (e.g., filtering algorithms) for the optimal identification of terrain points. Copyright ASPRS Numéro de notice : A2010-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.1.49 En ligne : https://doi.org/10.14358/PERS.76.1.49 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30209
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 1 (January 2010) . - pp 49 - 59[article]Detection, measurement and prediction of shoreline recession in Accra, Ghana / K. Appeaning Addo in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 5 (September - October 2008)PermalinkAccuracy assessment of Lidar-derived digital elevation models / F. Aguilar in Photogrammetric record, vol 23 n° 122 (June - August 2008)PermalinkGeometric validation of imagery and products from a high performance airborne digital sensor / Jon P. Mills in Revue Française de Photogrammétrie et de Télédétection, n° 183 (Septembre 2006)PermalinkGeometric assessment of the Kodak DCS Pro Back / Jon P. Mills in Photogrammetric record, vol 18 n° 103 (September - November 2003)PermalinkSynergetic fusion of GPS and photogrammetrically generated elevation models / Jon P. Mills in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)Permalink