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A comparative study on deep-learning methods for dense image matching of multi-angle and multi-date remote sensing stereo-images / Hessah Albanwan in Photogrammetric record, vol 37 n° 180 (December 2022)
[article]
Titre : A comparative study on deep-learning methods for dense image matching of multi-angle and multi-date remote sensing stereo-images Type de document : Article/Communication Auteurs : Hessah Albanwan, Auteur ; Rongjun Qin, Auteur Année de publication : 2022 Article en page(s) : pp 385 - 409 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] couple stéréoscopique
[Termes IGN] modèle stéréoscopique
[Termes IGN] précision géométrique (imagerie)Résumé : (auteur) Deep-learning (DL) stereomatching methods gained great attention in remote sensing satellite datasets. However, most of these existing studies conclude assessments based only on a few/single stereo-images lacking a systematic evaluation on how robust DL methods are on satellite stereo-images with varying radiometric and geometric configurations. This paper provides an evaluation of four DL stereomatching methods through hundreds of multi-date multi-site satellite stereopairs with varying geometric configurations, against the traditional well-practiced Census-semi-global matching (SGM), to comprehensively understand their accuracy, robustness, generalisation capabilities, and their practical potential. The DL methods include a learning-based cost metric through convolutional neural networks (MC-CNN) followed by SGM, and three end-to-end (E2E) learning models using Geometry and Context Network (GCNet), Pyramid Stereo Matching Network (PSMNet), and LEAStereo. Our experiments show that E2E algorithms can achieve upper limits of geometric accuracies, while may not generalise well for unseen data. The learning-based cost metric and Census-SGM are rather robust and can consistently achieve acceptable results. All DL algorithms are robust to geometric configurations of stereopairs and are less sensitive in comparison to the Census-SGM, while learning-based cost metrics can generalise on satellite images when trained on different datasets (airborne or ground-view). Numéro de notice : A2022-938 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12430 Date de publication en ligne : 09/11/2022 En ligne : https://doi.org/10.1111/phor.12430 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102684
in Photogrammetric record > vol 37 n° 180 (December 2022) . - pp 385 - 409[article]Deep image deblurring: A survey / Kaihao Zhang in International journal of computer vision, vol 130 n° 9 (September 2022)
[article]
Titre : Deep image deblurring: A survey Type de document : Article/Communication Auteurs : Kaihao Zhang, Auteur ; Wenqi Ren, Auteur ; Wenhan Luo, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 2103 - 2130 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] accentuation d'image
[Termes IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] déconvolution
[Termes IGN] estimation par noyau
[Termes IGN] filtrage du bruit
[Termes IGN] image floue
[Termes IGN] qualité d'image
[Termes IGN] réseau antagoniste génératif
[Termes IGN] taxinomie
[Termes IGN] vision par ordinateurRésumé : (auteur) Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image. Advances in deep learning have led to significant progress in solving this problem, and a large number of deblurring networks have been proposed. This paper presents a comprehensive and timely survey of recently published deep-learning based image deblurring approaches, aiming to serve the community as a useful literature review. We start by discussing common causes of image blur, introduce benchmark datasets and performance metrics, and summarize different problem formulations. Next, we present a taxonomy of methods using convolutional neural networks (CNN) based on architecture, loss function, and application, offering a detailed review and comparison. In addition, we discuss some domain-specific deblurring applications including face images, text, and stereo image pairs. We conclude by discussing key challenges and future research directions. Numéro de notice : A2022-638 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s11263-022-01633-5 Date de publication en ligne : 25/06/2022 En ligne : https://doi.org/10.1007/s11263-022-01633-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101444
in International journal of computer vision > vol 130 n° 9 (September 2022) . - pp 2103 - 2130[article]3D building reconstruction from single street view images using deep learning / Hui En Pang in International journal of applied Earth observation and geoinformation, vol 112 (August 2022)
[article]
Titre : 3D building reconstruction from single street view images using deep learning Type de document : Article/Communication Auteurs : Hui En Pang, Auteur ; Filip Biljecki, Auteur Année de publication : 2022 Article en page(s) : n° 102859 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] empreinte
[Termes IGN] Helsinki
[Termes IGN] image Streetview
[Termes IGN] maillage
[Termes IGN] morphologie urbaine
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation d'image
[Termes IGN] semis de pointsRésumé : (auteur) 3D building models are an established instance of geospatial information in the built environment, but their acquisition remains complex and topical. Approaches to reconstruct 3D building models often require existing building information (e.g. their footprints) and data such as point clouds, which are scarce and laborious to acquire, limiting their expansion. In parallel, street view imagery (SVI) has been gaining currency, driven by the rapid expansion in coverage and advances in computer vision (CV), but it has not been used much for generating 3D city models. Traditional approaches that can use SVI for reconstruction require multiple images, while in practice, often only few street-level images provide an unobstructed view of a building. We develop the reconstruction of 3D building models from a single street view image using image-to-mesh reconstruction techniques modified from the CV domain. We regard three scenarios: (1) standalone single-view reconstruction; (2) reconstruction aided by a top view delineating the footprint; and (3) refinement of existing 3D models, i.e. we examine the use of SVI to enhance the level of detail of block (LoD1) models, which are common. The results suggest that trained models supporting (2) and (3) are able to reconstruct the overall geometry of a building, while the first scenario may derive the approximate mass of the building, useful to infer the urban form of cities. We evaluate the results by demonstrating their usefulness for volume estimation, with mean errors of less than 10% for the last two scenarios. As SVI is now available in most countries worldwide, including many regions that do not have existing footprint and/or 3D building data, our method can derive rapidly and cost-effectively the 3D urban form from SVI without requiring any existing building information. Obtaining 3D building models in regions that hitherto did not have any, may enable a number of 3D geospatial analyses locally for the first time. Numéro de notice : A2022-544 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.jag.2022.102859 Date de publication en ligne : 17/06/2022 En ligne : https://doi.org/10.1016/j.jag.2022.102859 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101160
in International journal of applied Earth observation and geoinformation > vol 112 (August 2022) . - n° 102859[article]Évaluation de la qualité de modèles 3D issus de nuages de points / Tania Landes in XYZ, n° 171 (juin 2022)
[article]
Titre : Évaluation de la qualité de modèles 3D issus de nuages de points Type de document : Article/Communication Auteurs : Tania Landes, Auteur Année de publication : 2022 Article en page(s) : pp 14 - 24 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] maquette numérique
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] qualité du modèle
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation d'image
[Termes IGN] semis de pointsRésumé : (Auteur) La modélisation 3D répond à la fois à un enjeu économique, mais aussi environnemental, que ce soit à l’échelle du bâtiment ou de la ville. Ces dix dernières années, les techniques d’acquisition ont considérablement évolué du point de vue de leur rapidité, du volume de données à gérer, de l’hétérogénéité des informations acquises par les systèmes multicapteurs, de même que des méthodes de traitement des données. De nouveaux processus sont nés de ces bouleversements, comme le processus “scan-to-BIM”, caractérisant les étapes menant du nuage de points à une maquette numérique intelligente. En adoptant la maquette numérique, intégrée dans un processus collaboratif BIM (Building Information Modeling), les acteurs du bâtiment sont en mesure d’effectuer des simulations et de réduire, en plus des coûts, l’impact environnemental lié aux interventions sur le bâtiment, tout au long de son cycle de vie. En pratique, pour aboutir à une maquette numérique intelligente du bâtiment à partir d’un relevé de l’existant, de nombreux verrous technologiques sont à lever. Dans ce contexte, j’ai eu l’occasion d’encadrer divers travaux de recherches portant sur les thématiques allant de l’acquisition de données 3D (généralement sous forme de nuages de points 3D) à leur traitement, jusqu’à la production de la maquette numérique comme résumé dans le numéro 167 de la revue XYZ [Landes, 2021]. Dans la continuité de ce résumé, et comme l’annonçait la conclusion de ce dernier, cette suite se concentre sur la question de la qualité des livrables 3D détaillés dans [Landes, 2020]. Numéro de notice : A2022-521 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101066
in XYZ > n° 171 (juin 2022) . - pp 14 - 24[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 112-2022021 RAB Revue Centre de documentation En réserve L003 Disponible Summarizing large scale 3D mesh for urban navigation / Imeen Ben Salah in Robotics and autonomous systems, vol 152 (June 2022)
[article]
Titre : Summarizing large scale 3D mesh for urban navigation Type de document : Article/Communication Auteurs : Imeen Ben Salah, Auteur ; Sébastien Kramm, Auteur ; Cédric Demonceaux, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 104037 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme ICP
[Termes IGN] carte en 3D
[Termes IGN] données lidar
[Termes IGN] entropie
[Termes IGN] image hémisphérique
[Termes IGN] image RVB
[Termes IGN] information sémantique
[Termes IGN] localisation basée vision
[Termes IGN] maillage
[Termes IGN] navigation autonome
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] précision radiométrique
[Termes IGN] profondeur
[Termes IGN] Rouen
[Termes IGN] saillance
[Termes IGN] zone urbaineRésumé : (auteur) Cameras have become increasingly common in vehicles, smartphones, and advanced driver assistance systems. The areas of application of these cameras in the world of intelligent transportation systems are becoming more and more varied: pedestrian detection, line crossing detection, navigation, …A major area of research currently focuses on mapping that is essential for localization and navigation. However, this step generates an important problem of memory management. Indeed, the memory space required to accommodate the map of a small city is measured in tens gigabytes. In addition, several providers today are competing to produce High-Definition (HD) maps. These maps offer a rich and detailed representation of the environment for highly accurate localization. However, they require a large storage capacity and high transmission and update costs. To overcome these problems, we propose a solution to summarize this type of map by reducing the size while maintaining the relevance of the data for navigation based on vision only. The summary consists in a set of spherical images augmented by depth and semantic information and allowing to keep the same level of visibility in every directions. These spheres are used as landmarks to offer guidance information to a distant agent. They then have to guarantee, at a lower cost, a good level of precision and speed during navigation. Some experiments on real data demonstrate the feasibility for obtaining a summarized map while maintaining a localization with interesting performances. Numéro de notice : A2022-290 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.robot.2022.104037 Date de publication en ligne : 03/02/2022 En ligne : https://doi.org/10.1016/j.robot.2022.104037 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100335
in Robotics and autonomous systems > vol 152 (June 2022) . - n° 104037[article]Automatic extraction of building geometries based on centroid clustering and contour analysis on oblique images taken by unmanned aerial vehicles / Leilei Zhang in International journal of geographical information science IJGIS, vol 36 n° 3 (March 2022)PermalinkDeveloping the potential of airborne lidar systems for the sustainable management of forests / Karun Dayal (2022)PermalinkFusion de données hyperspectrales et panchromatiques dans le domaine réflectif / Yohann Constans (2022)PermalinkNanosatellites, des Lego dans l’espace / Laurent Polidori in Géomètre, n° 2197 (décembre 2021)PermalinkInfluence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle / Lucas Santos Santana in European journal of remote sensing, vol 54 n° 1 (2021)PermalinkPermalinkProgrammation d’un système de scannage multiple pilotable et mise en place de tests de qualité pour l’optimisation d’une chaîne de traitement photogrammétrique / Augustin Cosson (2021)PermalinkForêt d'arbres aléatoires et classification d'images satellites : relation entre la précision du modèle d'entraînement et la précision globale de la classification / Aurélien N.G. Matsaguim in Revue Française de Photogrammétrie et de Télédétection, n° 222 (novembre 2020)PermalinkA generic framework for improving the geopositioning accuracy of multi-source optical and SAR imagery / Niangang Jiao in ISPRS Journal of photogrammetry and remote sensing, vol 169 (November 2020)PermalinkApplication of 30-meter global digital elevation models for compensating rational polynomial coefficients biases / Amin Alizadeh Naeini in Geocarto international, vol 35 n° 12 ([01/09/2020])PermalinkA regression model of spatial accuracy prediction for Openstreetmap buildings / Ibrahim Maidaneh Abdi in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol V-4-2020 (August 2020)PermalinkALERT: adversarial learning with expert regularization using Tikhonov operator for missing band reconstruction / Litu Rout in IEEE Transactions on geoscience and remote sensing, vol 58 n° 6 (June 2020)PermalinkComparison 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)PermalinkOptimising drone flight planning for measuring horticultural tree crop structure / Yu-Hsuan Tu in ISPRS Journal of photogrammetry and remote sensing, vol 160 (February 2020)PermalinkStatistical 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)PermalinkContribution à la segmentation et à la modélisation 3D du milieu urbain à partir de nuages de points / Tania Landes (2020)PermalinkPermalinkGeometric accuracy improvement of WorldView‐2 imagery using freely available DEM data / Mateo Gašparović in Photogrammetric record, vol 34 n° 167 (September 2019)PermalinkVehicle detection in aerial images / Michael Ying Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 4 (avril 2019)PermalinkPermalink3-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)PermalinkToward automatic georeferencing of archival aerial photogrammetric surveys / Sébastien Giordano in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-2 (June 2018)PermalinkNo-reference image quality assessment for image auto-denoising / Xiangfei Kong in International journal of computer vision, vol 126 n° 5 (May 2018)PermalinkDes exigences techniques de qualité pour l'exploitation des images / Laurent Polidori in Géomètre, n° 2156 (mars 2018)PermalinkPermalinkPermalinkLarge-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)PermalinkEstudio 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)PermalinkUsing landsat surface reflectance data as a reference target for multiswath hyperspectral data collected over mixed agricultural rangeland areas / Cooper McCann in IEEE Transactions on geoscience and remote sensing, vol 55 n° 9 (September 2017)PermalinkEvaluation of pan-sharpening methods for spatial and spectral quality / Jagalingam Pushparaj in Applied geomatics, vol 9 n° 1 (March 2017)PermalinkGeometric accuracy evaluation of YG-18 satellite imagery based on RFM / Ruishan Zhao in Photogrammetric record, vol 32 n° 157 (March - May 2017)PermalinkPermalinkAccuracy of tree geometric parameters depending on the LiDAR data density / Edyta Hadas in European journal of remote sensing, vol 49 n° 1 (2016)PermalinkA Computationally efficient algorithm for fusing multispectral and hyperspectral images / Raúl Guerra in IEEE Transactions on geoscience and remote sensing, vol 54 n° 10 (October 2016)PermalinkAccuracy 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, vol III-1 (July 2016)PermalinkDes nouveaux moyens et des opportunités / Laurent Polidori in Géomètre, n° 2137 (juin 2016)PermalinkPermalinkSentinel-2A image quality commissioning phase final results: geometric calibration and performances / Florie Languille (2016)PermalinkGeometric accuracy analysis model of the ZiYuan-3 satellite without GCPs / Xinming Tang in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)PermalinkJournées de la topo 2015 : le Mystère BIM dévoilé / Antoine Cremmel in XYZ, n° 145 (décembre 2015 - février 2016)PermalinkEstimation de paramètres forestiers par données Lidar aéroporté et imagerie satellitaire RapidEye : étude de sensibilité / Jean-Matthieu Monnet in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)PermalinkPattern-mining approach for conflating crowdsourcing road networks with POIs / Bisheng Yang in International journal of geographical information science IJGIS, vol 29 n° 5 (May 2015)PermalinkRadiometric and geometric evaluation of GeoEye-1, WorldView-2 and Pléiades-1A stereo images for 3D information extraction / Daniela Poli in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)PermalinkCorrection of distorsions in YG-12 high-resolution panchromatic images / Yonghua Jiang in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 1 (January 2015)PermalinkEssential Earth imaging for GIS / Lawrence Fox III (2015)PermalinkEtude de processus de création de modèles BIM à partir d'acquisition de nuages de points / Robin Perdreaux (2015)PermalinkDu photon au pixel / Henri Maître (2015)PermalinkPléiades satellites image quality commissioning / Laurent Lebègue in Revue Française de Photogrammétrie et de Télédétection, n° 209 (Janvier 2015)PermalinkPermalinkAutomatic detection of elevation changes by differential DSM analysis: application to urban areas / Cyrielle Guerin in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 7 n° 10 (October 2014)PermalinkPerformances et limitations de la corrélation diachronique d'images pour les ouvrages d'art / Julien Comte in XYZ, n° 140 (septembre - novembre 2014)PermalinkA GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation / Xiran Zhou in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkPermalinkRegistration of optical images with lidar data and its accuracy assessment / Shunyl Zheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)PermalinkPhotogrammetric monitoring of an artificially generated shallow landslide / Devrim Acka in Photogrammetric record, vol 28 n° 142 (June - August 2013)PermalinkEuroSDR project Commission 1, Radiometric aspects of digital photogrammetric images / Eija Honkavaara (2013)PermalinkAPEX: ein Bildspektrometer der 4. generation / M. Jehle in Géomatique suisse, vol 110 n° 9 (01/09/2012)PermalinkVisualisation 3D de terrain texturé : préservation au niveau du pixel des qualités géométriques et colorimétriques, une méthode temps réel, innovante et simple / T.V. Lê in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)PermalinkThe TropiSAR airborne campaign in French Guiana : objectives, description, and observed temporal behavior of the backscatter signal / P. Dubois-Fernandez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkAn in-depth simulation of EnMAP acquisition geometry / P. Schwind in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)PermalinkFlight planning and orthophotos / Y. Raizman in GIM international, vol 26 n° 6 (June 2012)PermalinkA geometry and texture coupled flexible generalization of urban building models / M. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)PermalinkRadiometric performance of the SMOS reference radiometers-assessment after one year of operation / J. Kainulainen in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)PermalinkMitigation of atmospheric perturbations and solid Earth movements in a TerraSAR-X time-series / D. Small in Journal of geodesy, vol 86 n° 4 (April 2012)PermalinkImagerie numérique / Christine Fernandez-Maloigne (2012)PermalinkReview of geometric and radiometric analyses of paintings / Fabio Remondino in Photogrammetric record, vol 26 n° 136 (December 2011 - February 2012)PermalinkAn approach to the radiometric aerotriangulation of photogrammetric images / David Hernandez-Lopez in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)PermalinkDevelopment of a new laser triangulation system based on an optical frame of reference / A. Abzal in Photogrammetric record, vol 26 n° 135 (September - November 2011)PermalinkCalibrating and validating multispectral 3D imaging systems at a permanent test site: case study with an Intergraph DMC / Eija Honkavaara in Photogrammetric record, vol 26 n° 134 (June - August 2011)PermalinkOverview and applications of RADARSAT-1 and RADARSAT-2 / R. Magagi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 2011)PermalinkImage fusion by spatially adaptive filtering using downscaling cokriging / E. Pardo-Iguzquiza in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)PermalinkJournées de la recherche [IGN] / Anonyme in Géomatique expert, n° 79 (01/03/2011)PermalinkQuality analysis on 3D building models reconstructed from airborne laser scanning data / Sander J. Elberink in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)Permalink3D building model reconstruction from multi-view aerial imagery and Lidar data / Liang Cheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)PermalinkOrthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data / Peter Reinartz in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)PermalinkDGPF projec t: evaluation of digital photogrammetric aerial-based imaging systems: overview and results from the pilot center / Michael Cramer in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)PermalinkA digital medium-format camera for metric applications: Alpa 12 metric / D. Rieke-Zapp in Photogrammetric record, vol 25 n° 131 (September - November 2010)PermalinkQualité, résolution, précision... Bienvenue dans un monde imparfait / Françoise de Blomac in SIG la lettre, n° 116 (avril 2010)PermalinkIn-flight quality assessment and data processing for airborne laser scanning / Philipp Schaer (2010)PermalinkInfluence of image characteristics on image quality / T. Royer (2010)PermalinkTesting aerial digital cameras / R. Kathofer in GIM international, vol 24 n° 1 (January 2010)PermalinkComparative geometric and radiometric evaluation of mobile phone and still video cameras / Devrim Akca in Photogrammetric record, vol 24 n° 127 (September - November 2009)PermalinkTesting measurement accuracy in oblique photography using Pixo View technology / J. Sukup in Geoinformatics, vol 12 n° 5 (01/07/2009)PermalinkQuality assessment for GPS-supported bundle block adjustment based on aerial digital frame imagery / X. Yuan in Photogrammetric record, vol 24 n° 126 (June - August 2009)Permalinkvol 64 n° 3 - May - June 2009 - Image analysis and image engineering in close range photogrammetry (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Hans-Gerd MaasPermalinkA radiometric aerial triangulation for the equalization of digital aerial Images and orthoimages / Laure Chandelier in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 2 (February 2009)PermalinkTravaux préparatoires à la mise en place d'une chaine de traitement d'images basse altitude / F. Mainfroy (2009)PermalinkAssessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkDMC geometry analysis and virtual image characterisation / R. Alamus in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)PermalinkRadiometric calibration and characterization of large-format digital photogrammetric sensors in a test field / Lauri Markelin in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkAdvanced studies in strip pair processing of Cartosat-1 data / P.K. Srivastava in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkAnalysis of Cartosat-1 images regarding image quality, 3D point measurement and DSM generation / Emmanuel P. Baltsavias in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkPotential accuracy of image orientation of small satellites: a case study of CHRIS/Proba data / Ahmed Shaker in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkAdjustability and error propagation for true replacement sensor models / C. Puatanachokchai in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)PermalinkPer-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping / D. Hester in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)Permalink