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Comparison and analysis of results of 3D modelling of complex cultural and historical objects using different types of terrestrial laser scanner / Admir Mulahusic in Survey review, vol 52 n° 371 (March 2020)  

Public [article]  inSurvey review > vol 52 n° 371 (March 2020) . - pp 107-114 Titre : Comparison and analysis of results of 3D modelling of complex cultural and historical objects using different types of terrestrial laser scanner Type de document : Article/Communication Auteurs : Admir Mulahusic, Auteur ; Nedim Tuno, Auteur ; Dubravko Gajski, Auteur ; Jusuf Topoljak, Auteur Année de publication : 2020 Article en page(s) : pp 107-114 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] balayage laser [Termes descripteurs IGN] Croatie [Termes descripteurs IGN] impulsion laser [Termes descripteurs IGN] logiciel de reconstruction 3D [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] monument historique [Termes descripteurs IGN] patrimoine culturel [Termes descripteurs IGN] précision géométrique (imagerie) [Termes descripteurs IGN] télémétrie laser terrestre [Termes descripteurs IGN] traitement de données Résumé : (auteur) Laser scanning does not provide unlimited geometrical accuracy and integrity when scanning complex objects. Scanning systems have a minimum and maximum range in which they operate, depending on the technical characteristics. Scanning below or above these limits results in gross errors and registering of incorrect data. Laser scanners can have difficulties with certain materials such as marble and reflective surfaces. This paper presents the results of laser scanning of a complex monument of cultural and historical heritage using two different types of terrestrial laser scanners. Afterwards, the comparison and analysis of the results are shown. The scanners used were terrestrial laser scanners Faro Focus 3D (phase mode distance measurements) and STONEX X300 (pulse mode distance measurements). Numéro de notice : A2020-073 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1528758 date de publication en ligne : 09/10/2018 En ligne : https://doi.org/10.1080/00396265.2018.1528758 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94638 [article]

Statistical assessment of cartographic product from photogrammetry and fixed-wing UAV acquisition / Ademir Marques Junior in European journal of remote sensing, vol 53 n°1 (2020)  

Public [article]  inEuropean journal of remote sensing > vol 53 n°1 (2020) . - pp 27 - 39 Titre : Statistical assessment of cartographic product from photogrammetry and fixed-wing UAV acquisition Type de document : Article/Communication Auteurs : Ademir Marques Junior, Auteur ; Dalva Maria De Castro, Auteur ; Taina Thomassin Guimarães, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 27 - 39 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] Brésil [Termes descripteurs IGN] cartographie topographique [Termes descripteurs IGN] centrale hydroélectrique [Termes descripteurs IGN] données GNSS [Termes descripteurs IGN] image à haute résolution [Termes descripteurs IGN] image de drone [Termes descripteurs IGN] khi carré [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] norme cartographique [Termes descripteurs IGN] orthophotoplan numérique [Termes descripteurs IGN] positionnement cinématique en temps réel [Termes descripteurs IGN] précision géométrique (imagerie) [Termes descripteurs IGN] produit cartographique [Termes descripteurs IGN] test de performance Résumé : (auteur) Geometric accuracy is an important attribute of cartographic products and UAV photogrammetry has been gaining market in topographic mapping thanks to high spatial and temporal resolution, however, they need proper evaluation following accuracy standards and protocols. Regarding this, this work evaluates products from digital photogrammetry from images acquired with a fixed-wing UAV (18Mpixel camera) in a 300-380m height flight over a Hydroelectric Power Plant (HPP) in Brazil. A dataset of 23 ground control points assessed with an RTK-GNSS (using natural targets) was validated with its homologous in the Digital Surface Model (DSM) and the orthomosaic, following a workflow in which the appropriate statistics were applied. Following parametric tests like the Students t-test and the Chi-square, we compared the results with the Brazilian Cartographic Standard for digital cartography, achieving minimum scale of 1: 20,000 (RMSE of 1.04 m) for the orthomosaic, and minimum scale of 1: 10,000 (RMSE of 1.31 m) for the elevation in the DSM, although, no special targets were used. As the 3D mapping generated using the photogrammetry still needs a protocol to evaluate the accuracy, this work applied a proposed workflow respecting the quality of the data to meet the requirements of the cartographic standard. Numéro de notice : A2020-165 Thématique : IMAGERIE Nature : Article DOI : 10.1080/22797254.2020.17179 date de publication en ligne : 28/01/2020 En ligne : https://doi.org/10.1080/22797254.2020.1717998 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94833 [article]

Geometric accuracy improvement of WorldView‐2 imagery using freely available DEM data / Mateo Gašparović in Photogrammetric record, vol 34 n° 167 (September 2019)  

Public [article]  inPhotogrammetric record > vol 34 n° 167 (September 2019) . - pp 266 - 281 Titre : Geometric accuracy improvement of WorldView‐2 imagery using freely available DEM data Type de document : Article/Communication Auteurs : Mateo Gašparović, Auteur ; Dino Dobrinić, Auteur ; Damir Medak, Auteur Année de publication : 2019 Article en page(s) : pp 266 - 281 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] image à très haute résolution [Termes descripteurs IGN] image ALOS [Termes descripteurs IGN] image panchromatique [Termes descripteurs IGN] image Worldview [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] orientation du capteur [Termes descripteurs IGN] orthorectification [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] précision géométrique (imagerie) Résumé : (auteur) This paper provides geometric accuracy improvements for very highresolution WorldView-2 (WV2) Ortho Ready Standard Level-2A (ORS2A) satelliteimages in the panchromatic (PAN) band. The entire process can be divided intotwo steps: (1) sensor orientation, which was conducted on 40 ground controlpoints (GCPs) to determine which sensor model was best depending on variousnumbers of GCPs; and (2) orthorectification, whose main objective was tocompare the accuracy of the process when using different freely available globaldigital elevation models (DEMs). The research showed that a sensor model basedon rational polynomial coefficients (RPCs) with a shift or zero-order biascorrection attained the best geopositioning accuracy during the orientation stepwith the use of seven GCPs. The highest accuracy was achieved for imagesorthorectified with the ALOS World 3D-30 m DEM (AW3D30). Numéro de notice : A2019-432 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12292 date de publication en ligne : 10/10/2019 En ligne : https://doi.org/10.1111/phor.12292 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93759 [article]

3-D deep learning approach for remote sensing image classification / Amina Ben Hamida in IEEE Transactions on geoscience and remote sensing, vol 56 n° 8 (August 2018)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 56 n° 8 (August 2018) . - pp 4420 - 4434 Titre : 3-D deep learning approach for remote sensing image classification Type de document : Article/Communication Auteurs : Amina Ben Hamida, Auteur ; Alexandre Benoit, Auteur ; Patrick Lambert, Auteur ; Chokri Ben Amar, Auteur Année de publication : 2018 Article en page(s) : pp 4420 - 4434 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] apprentissage profond [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] qualité géométrique (image) [Termes descripteurs IGN] valeur radiométrique Résumé : (Auteur) Recently, a variety of approaches have been enriching the field of remote sensing (RS) image processing and analysis. Unfortunately, existing methods remain limited to the rich spatiospectral content of today's large data sets. It would seem intriguing to resort to deep learning (DL)-based approaches at this stage with regard to their ability to offer accurate semantic interpretation of the data. However, the specificity introduced by the coexistence of spectral and spatial content in the RS data sets widens the scope of the challenges presented to adapt DL methods to these contexts. Therefore, the aim of this paper is first to explore the performance of DL architectures for the RS hyperspectral data set classification and second to introduce a new 3-D DL approach that enables a joint spectral and spatial information process. A set of 3-D schemes is proposed and evaluated. Experimental results based on well-known hyperspectral data sets demonstrate that the proposed method is able to achieve a better classification rate than state-of-the-art methods with lower computational costs. Numéro de notice : A2018-470 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2818945 date de publication en ligne : 20/04/2018 En ligne : https://doi.org/10.1109/TGRS.2018.2818945 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91252 [article]

Toward automatic georeferencing of archival aerial photogrammetric surveys / Sébastien Giordano in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2 ([28/05/2018])  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > IV-2 [28/05/2018] . - pp 105 - 112 Titre : Toward automatic georeferencing of archival aerial photogrammetric surveys Type de document : Article/Communication Auteurs : Sébastien Giordano , Auteur ; Arnaud Le Bris , Auteur ; Clément Mallet , Auteur Congrès : ISPRS 2018, TC II Mid-term Symposium "Towards Photogrammetry 2020" (4 - 7 juin 2018; Riva del Garda, Italie) , Commanditaire Année de publication : 2018 Projets : 1-Pas de projet / Article en page(s) : pp 105 - 112 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] archives [Termes descripteurs IGN] géoréférencement [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] orientation absolue [Termes descripteurs IGN] orthoimage [Termes descripteurs IGN] pas d'échantillonnage au sol [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] précision géométrique (imagerie) [Termes descripteurs IGN] série temporelle Résumé : (auteur) Images from archival aerial photogrammetric surveys are a unique and relatively unexplored means to chronicle 3D land-cover changes over the past 100 years. They provide a relatively dense temporal sampling of the territories with very high spatial resolution. Such time series image analysis is a mandatory baseline for a large variety of long-term environmental monitoring studies. The current bottleneck for accurate comparison between epochs is their fine georeferencing step. 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 the major challenge is the identification of ground references: cartographic coordinates and their position in the archival images. This task is manually performed, and extremely time-consuming. This paper 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 2-step approach: (i) the computation of a coarse absolute image orientation; (ii) the use of the coarse Digital Surface Model (DSM) information for automatic 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. Results on two areas and 5 dates show that this method is compatible with long and dense archival aerial image series. Satisfactory planimetric and altimetric accuracies are reported, with variations depending on the ground sampling distance of the images and the location of the Ground Control Points. Numéro de notice : A2018-330 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprs-annals-IV-2-105-2018 date de publication en ligne : 28/05/2018 En ligne : https://doi.org/10.5194/isprs-annals-IV-2-105-2018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90473 [article]

Des exigences techniques de qualité pour l'exploitation des images / Laurent Polidori in Géomètre, n° 2156 (mars 2018)

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GNSS-assisted accurate corridor mapping with small UAV / Yilin Zhou (2018)    

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Large-scale block adjustment without use of ground control points based on the compensation of geometric calibration for ZY-3 images / Yang Bo in ISPRS Journal of photogrammetry and remote sensing, vol 134 (December 2017)  

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Estudio de precision en la aerotriangulacion de bloques de imagenes obtenidas con UAV / Miguel Angel Lopez Gonzalez in Mapping : Teledetección, medio ambiante, cartografía, sistemas de información geográfica, vol 26 n° 185 (septembrie - octubre 2017)    

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Evaluation of pan-sharpening methods for spatial and spectral quality / Jagalingam Pushparaj in Applied geomatics, vol 9 n° 1 (March 2017)  

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Geometric accuracy evaluation of YG-18 satellite imagery based on RFM / Ruishan Zhao in Photogrammetric record, vol 32 n° 157 (March - May 2017)  

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Accuracy of tree geometric parameters depending on the LiDAR data density / Edyta Hadas in European journal of remote sensing, vol 49 (2016)  

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Accuracy Validation of Large-scale Block Adjustment without Control of ZY3 Images over China / Yang Bo in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)  

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Des nouveaux moyens et des opportunités / Laurent Polidori in Géomètre, n° 2137 (juin 2016)

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Geometric accuracy analysis model of the ZiYuan-3 satellite without GCPs / Xinming Tang in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)

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