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Semi-automated analysis of high-resolution aerial images to quantify docks in glacial lakes / Marcus W. Beck in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
[article]
Titre : Semi-automated analysis of high-resolution aerial images to quantify docks in glacial lakes Type de document : Article/Communication Auteurs : Marcus W. Beck, Auteur ; Bruce Vondracek, Auteur ; Lorin Hatch, Auteur ; Jason Vinje, Auteur Année de publication : 2013 Article en page(s) : pp 60 - 69 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection d'objet
[Termes IGN] image aérienne
[Termes IGN] lac
[Termes IGN] Minnesota (Etats-Unis)
[Termes IGN] pêche
[Termes IGN] ressources aquatiques
[Termes IGN] surveillance écologiqueRésumé : (Auteur) Lake resources can be negatively affected by environmental stressors originating from multiple sources and different spatial scales. Shoreline development, in particular, can negatively affect lake resources through decline in habitat quality, physical disturbance, and impacts on fisheries. The development of remote sensing techniques that efficiently characterize shoreline development in a regional context could greatly improve management approaches for protecting and restoring lake resources. The goal of this study was to develop an approach using high-resolution aerial photographs to quantify and assess docks as indicators of shoreline development. First, we describe a dock analysis workflow that can be used to quantify the spatial extent of docks using aerial images. Our approach incorporates pixel-based classifiers with object-based techniques to effectively analyze high-resolution digital imagery. Second, we apply the analysis workflow to quantify docks for 4261 lakes managed by the Minnesota Department of Natural Resources. Overall accuracy of the analysis results was 98.4% (87.7% based on View the MathML source) after manual post-processing. The analysis workflow was also 74% more efficient than the time required for manual digitization of docks. These analyses have immediate relevance for resource planning in Minnesota, whereas the dock analysis workflow could be used to quantify shoreline development in other regions with comparable imagery. These data can also be used to better understand the effects of shoreline development on aquatic resources and to evaluate the effects of shoreline development relative to other stressors. Numéro de notice : A2013-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.04.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.04.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32527
in ISPRS Journal of photogrammetry and remote sensing > vol 81 (July 2013) . - pp 60 - 69[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013071 RAB Revue Centre de documentation En réserve L003 Disponible Semisupervised self-learning for hyperspectral image classification / Immaculada Dopido in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 1 (July 2013)
[article]
Titre : Semisupervised self-learning for hyperspectral image classification Type de document : Article/Communication Auteurs : Immaculada Dopido, Auteur ; Jun Li, Auteur ; Prashanth Reddy Marpu, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 4032 - 4044 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage semi-dirigé
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] classification semi-dirigée
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] image ROSIS
[Termes IGN] régression logistiqueRésumé : (Auteur) Remotely sensed hyperspectral imaging allows for the detailed analysis of the surface of the Earth using advanced imaging instruments which can produce high-dimensional images with hundreds of spectral bands. Supervised hyperspectral image classification is a difficult task due to the unbalance between the high dimensionality of the data and the limited availability of labeled training samples in real analysis scenarios. While the collection of labeled samples is generally difficult, expensive, and time-consuming, unlabeled samples can be generated in a much easier way. This observation has fostered the idea of adopting semisupervised learning techniques in hyperspectral image classification. The main assumption of such techniques is that the new (unlabeled) training samples can be obtained from a (limited) set of available labeled samples without significant effort/cost. In this paper, we develop a new approach for semisupervised learning which adapts available active learning methods (in which a trained expert actively selects unlabeled samples) to a self-learning framework in which the machine learning algorithm itself selects the most useful and informative unlabeled samples for classification purposes. In this way, the labels of the selected pixels are estimated by the classifier itself, with the advantage that no extra cost is required for labeling the selected pixels using this machine-machine framework when compared with traditional machine-human active learning. The proposed approach is illustrated with two different classifiers: multinomial logistic regression and a probabilistic pixelwise support vector machine. Our experimental results with real hyperspectral images collected by the National Aeronautics and Space Administration Jet Propulsion Laboratory's Airborne Visible-Infrared Imaging Spectrometer and the Reflective Optics Spectrographic Imaging System indicate that the use of self-learning represents an effective and promising strategy in the cont- xt of hyperspectral image classification. Numéro de notice : A2013-374 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2228275 En ligne : https://doi.org/10.1109/TGRS.2012.2228275 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32512
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 7 Tome 1 (July 2013) . - pp 4032 - 4044[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013071A RAB Revue Centre de documentation En réserve L003 Disponible Spectral unmixing in multiple-kernel Hilbert space for hyperspectral imagery / Yanfeng Gu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 1 (July 2013)
[article]
Titre : Spectral unmixing in multiple-kernel Hilbert space for hyperspectral imagery Type de document : Article/Communication Auteurs : Yanfeng Gu, Auteur ; Shizhe Wang, Auteur ; Xiuping Jia, Auteur Année de publication : 2013 Article en page(s) : pp 3968 - 3981 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] apprentissage automatique
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] espace de Hilbert
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectraleRésumé : (Auteur) In this paper, we address a spectral unmixing problem for hyperspectral images by introducing multiple-kernel learning (MKL) coupled with support vector machines. To effectively solve issues of spectral unmixing, an MKL method is explored to build new boundaries and distances between classes in multiple-kernel Hilbert space (MKHS). Integrating reproducing kernel Hilbert spaces (RKHSs) spanned by a series of different basis kernels in MKHS is able to provide increased power in handling general nonlinear problems than traditional single-kernel learning in RKHS. The proposed method is developed to solve multiclass unmixing problems. To validate the proposed MKL-based algorithm, both synthetic data and real hyperspectral image data were used in our experiments. The experimental results demonstrate that the proposed algorithm has a strong ability to capture interclass spectral differences and improve unmixing accuracy, compared to the state-of-the-art algorithms tested. Numéro de notice : A2013-371 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2227757 En ligne : https://doi.org/10.1109/TGRS.2012.2227757 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32509
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 7 Tome 1 (July 2013) . - pp 3968 - 3981[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013071A RAB Revue Centre de documentation En réserve L003 Disponible Utility of the wavelet transform for LAI estimation using hyperspectral data / Asim Banskota in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 7 (July 2013)
[article]
Titre : Utility of the wavelet transform for LAI estimation using hyperspectral data Type de document : Article/Communication Auteurs : Asim Banskota, Auteur ; Randolph H. Wynne, Auteur ; Shawn P. Serbin, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : 662 p. ; pp 653 - 662 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] algorithme génétique
[Termes IGN] forêt tempérée
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] Leaf Area Index
[Termes IGN] transformation en ondelettes
[Termes IGN] Wisconsin (Etats-Unis)Résumé : (Auteur) We employed the discrete wavelet transform to reflectance spectra obtained from hyperspectral data to improve estimation of LAi in temperate forests. We estimated LAl for 32 plots across a range afforest types in Wisconsin using hemispherical photography. Plot spectra were extracted from AVIRIS data and transformed into wavelet features using the Haar wavelet. Separately, subsets of spectral bands and the Haar features selected by a genetic algorithm were used as independent variables in linear regressions. Models using wavelet coefficients explained the most variance for both broadleaf plots (R2 = 0.90 for wavelet features versus R2 = 0.80 for spectral bands) and all plots independent afforest type (R2 = 0.79 for wavelet features vs. R2 = 0.58 for spectral bands). The forest-type specific models were better than the models using all plots combined. Overall, wavelet features appear superior to band reflectances alone for estimating temperate forest LAI using hyperspectral data. Numéro de notice : A2013-394 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.7.653 En ligne : https://doi.org/10.14358/PERS.79.7.653 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32532
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 7 (July 2013) . - 662 p. ; pp 653 - 662[article]An object-based system for Lidar data fusion and feature extraction / Jarlath P. M. O'Neil-Dunne in Geocarto international, vol 28 n° 3-4 (June - July 2013)
[article]
Titre : An object-based system for Lidar data fusion and feature extraction Type de document : Article/Communication Auteurs : Jarlath P. M. O'Neil-Dunne, Auteur ; Sean W. Macfaden, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 227 - 242 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] carte d'occupation du sol
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] données vectorielles
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] milieu urbain
[Termes IGN] modèle orienté objet
[Termes IGN] occupation du sol
[Termes IGN] Philadelphie
[Termes IGN] villeRésumé : (Auteur) In urbanized areas of the developed world, light detection and ranging (LiDAR) exists alongside a wealth of other geospatial information. Despite this bounty, high-resolution land cover is still lacking in many urban areas. This can be attributed to the complexity of many landscapes, the volume of available data and the challenges associated with combining data that were acquired over differing time periods using inconsistent standards. Object-based approaches are ideal for overcoming these limitations. We describe the design, development and deployment of an object-based system that incorporated LiDAR, imagery and vector data sets to develop a comprehensive, multibillion-pixel land-cover data set for the City of Philadelphia. A novel approach using parallel processing allowed us to distribute the feature extraction load to multiple cores, providing massive gains in efficiency and permitting continual modification of the expert system until the accuracy goals of the project were achieved. Numéro de notice : A2013-397 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.689015 Date de publication en ligne : 29/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.689015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32535
in Geocarto international > vol 28 n° 3-4 (June - July 2013) . - pp 227 - 242[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Combined bundle block adjustment with spaceborne linear array and airborne frame array imagery / Yongjun Zhang in Photogrammetric record, vol 28 n° 142 (June - August 2013)PermalinkEstimation of glacier ice extinction using long-wavelength airborne Pol-InSAR / Jayanti J. Sharma in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)PermalinkSuperresolution multitarget parameter estimation in MIMO radar / Kai Luo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)PermalinkUse of handheld thermal imager data for airborne mapping of fire radiative power and energy and flame front rate of spread / Ronan Paugam in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 1 (June 2013)PermalinkA new polarimetric change detector in radar imagery / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)PermalinkLow altitude aerial photography applications for digital surface models creation in archaeology / José-Angel Martinez-Del-Pozo in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkPedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (lidar) / Piyawan Kasemsuppakorn in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)PermalinkSoil moisture estimation under low vegetation cover using a multi-angular polarimetric decomposition / Thomas Jaghuber in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkAccuracy assessment of commercial self-calibrating bundle adjustment routines applied to archival aerial photography / Manuel Angel Aguilar in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkVirtual worlds for photogrammetric image-based simulation and learning / Eduardo J. Piatti in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkR-Pod, essais en forêt dense ivoirienne avec un drone / N. Delley in Géomatique suisse, vol 111 n° 2 (01/02/2013)PermalinkAn automatic approach to UAV flight planning and control for photogrammetric applications: A test case in the Asturias region (Spain) / David Hernandez-Lopez in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)PermalinkContribution of texture and red-edge band for vegetated areas detection and identification / Arnaud Le Bris (2013)PermalinkMise en oeuvre des prises de vues aériennes par drone pour le suivi de site archéologique / Anna Mouget (2013)PermalinkModeling image motion in airborne Three-Line-Array (TLA) push-broom cameras / G. Jia in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)PermalinkPermalinkQuality evaluation of 3D city building models with automatic error diagnosis / Jean-Christophe Michelin (2013)PermalinkTree species discrimination in tropical forests using airborne imaging spectroscopy / Jean-Baptiste Féret in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)PermalinkVues d'en haut / Angela Lampe (2013)PermalinkLand use classification from lidar data and ortho-images in a rural area / Sandra Bujan in Photogrammetric record, vol 27 n° 140 (December 2012 - February 2013)PermalinkAerial image mosaicking with aid of vector roads / D. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)Permalinkn° 200 - Novembre 2012 - Illustrating French achievements in photogrammetry and remote sensing (Bulletin de Revue Française de Photogrammétrie et de Télédétection) / Société française de photogrammétrie et de télédétectionPermalinkMatching of straight line segments from aerial stereo images of urban areas / A. Ok in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)PermalinkOù en est-on de la 3D ? / Anonyme in Géomatique expert, n° 89 (01/11/2012)PermalinkAn automated system for image-to-vector georeferencing / Y. Li in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)PermalinkAquisição de imagens aéreas de alta resolução e baixo custo em mares baixas para pesquisas oceanograficas / D. Carneiro Da Silva in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkPenser le plan archéologique comme un système d'information : L'exemple du site médiéval de Qalhät (Oman) / Olivier Barge in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)PermalinkPhotogrammetric control points from airborne laser scanner data / Q. Dalmolin in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkA semi-automatic method for indirect orientation of aerial images using ground control lines extracted from airborne laser scanner data / D. Rodrigues Dos Santos in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkSemi-automatic quality control of topographic data sets / Petra Helmholz in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)PermalinkSuivi aérien du mascaret de la Garonne le 10 septembre 2010 / J. Parisot in Géomatique expert, n° 88 (01/09/2012)PermalinkApplying six classifiers to airborne hyperspectral imagery for detecting giant reed / C. Yang in Geocarto international, vol 27 n° 5 (August 2012)PermalinkClassification of urban tree species using hyperspectral imagery / R. Jensen in Geocarto international, vol 27 n° 5 (August 2012)PermalinkEvaluating classification techniques for mapping vertical geology using field-based hyperspectral sensors / R.J. Murphy in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkMapping impervious surfaces from superresolution enhanced CHRIS/Proba imagery using multiple endmember unmixing / Luca Demarchi in ISPRS Journal of photogrammetry and remote sensing, vol 72 (August 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)PermalinkDetecting and correcting motion blur from images shot with channel-dependent exposure time / Lâmân Lelégard in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkBuilding detection in complex scenes thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)PermalinkBuilding detection in complex thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)PermalinkEnabling UAV-based 3D mapping, Pix4D / Anonyme in GIM international, vol 26 n° 7 (July 2012)PermalinkMonitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)PermalinkVerification of 2D building outlines using oblique airborne images / A. Nyaruhuma in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)PermalinkUrban tree cover mapping with relief-corrected aerial imagery and lidar / B. Lehrbass in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)PermalinkView generation for multiview maximum disagreement based active learning for hyperspectral image classification / W. Di in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 2 (May 2012)PermalinkTowards all-in-one photogrammetry / Dieter Fritsch in GIM international, vol 26 n° 4 (April 2012)PermalinkA simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration / Z. Liu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)PermalinkDétection et identification de zones de végétation arborée: utilisation conjointe d'images satellite RapidEye et de données BDOrtho / François Tassin (2012)PermalinkPermalinkUnmanned aerial vehicles: from toys to tools / Armin W. Gruen in Geoinformatics, vol 15 n° 1 (01/01/2012)PermalinkData fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction / R. Beger in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)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)PermalinkAutomatic georeferencing of aerial images using stereo high-resolution satellite images / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)PermalinkPixel unmixing in hyperspectral data by means of neural networks / Giorgio Licciardi in IEEE Transactions on geoscience and remote sensing, vol 49 n° 11 Tome 1 (November 2011)PermalinkGeospatial disaster response during the Haiti earthquake : A case study spanning airborne deployment, data collection, transfer, processing, and dissemination / Jan Van Aardt in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)PermalinkTaiwanese Lidar project / J. Liu in GIM international, vol 25 n° 8 (August 2011)PermalinkGlobal ortho project / Matteo Luccio in GIM international, vol 25 n° 7 (July 2011)PermalinkMining boundary effects in areally referenced spatial data using the Bayesian information criterion / Sudipto Banerjee in Geoinformatica, vol 15 n° 3 (July 2011)PermalinkComparison of DMC, UltraCam, and ADS40 imagery for benthic habitat and propeller scar mapping / K. Green in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 6 (June 2011)PermalinkMission d'acquisition aérienne lidar pour les applications thématiques en écologie du paysage : le cas des coteaux de Gascogne / Sylvie Ladet in Collection EDYTEM. cahiers de géographie, n° 12 (01/06/2011)PermalinkApproche non supervisée par processus ponctuels marqués pour l'extraction d'objets à partir d'images aériennes et satellitaires / S. Ben Hadj in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)PermalinkUsing horizontal and vertical building structure to constrain indirect sensor orientation / Markus Gerke in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)PermalinkL'observation en très haute résolution / Laurent Polidori in Géomètre, n° 2080 (avril 2011)PermalinkL'image aérienne proche infrarouge : une information essentielle pour l'étude et la cartographie de la végétation / Jean Guy Boureau in Rendez-vous techniques, n° 31 (hiver 2011)PermalinkLimitless potential of geospatial imagery / P. Mcintosh in Geoinformatics, vol 14 n° 2 (01/03/2011)PermalinkTiltan's automated geo-mapping (AGM) system: A highly integrated airborne image data acquisition & processing system / Gordon Petrie in Geoinformatics, vol 14 n° 2 (01/03/2011)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)Permalink3D City Models: Supporting Tool for Urban Planning and Design / E. Parmehr in GIM international, vol 25 n° 2 (February 2011)PermalinkSub-canopy soil moisture modeling in n-dimensional spectral feature space / A. Ghulam in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)PermalinkAerial surveying at airports: STI's two recent projects / Matteo Luccio in Geoinformatics, vol 14 n° 1 (01/01/2011)PermalinkElaboration d'une carte dynamique des dégâts causés par les lahars au Merapi (Java centre, Indonésie) dans le cadre du programme MIA VITA / A.K. Robin (2011)PermalinkA featureless approach to 3D polyhedral building modeling from aerial images / Karim Hammoudi in Sensors, vol 11 n° 1 (January 2011)PermalinkGraph-based feature selection for object-oriented classification in VHR airborne imagery / Tianen Chen in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 2 (January 2011)PermalinkIntégration de la géophysique et de la télédétection pour la cartographie des sols à haute résolution spatiale : exemple de la reconnaissance de paléochenaux historiques dans les marais charentais / A. Camus in Revue Française de Photogrammétrie et de Télédétection, n° 193 (Janvier 2011)PermalinkPermalinkL'outil SIG pour la gestion de crise et la reconstruction, métropole de Port-au-Prince, Haïti, post-séisme du 12 janvier 2010 / M. Leguillier (2011)PermalinkLa carte forestière sans papier / Thierry Touzet in Le monde des cartes, n° 206 (décembre 2010)PermalinkAn update on automatic 3D building reconstruction / Norbert Haala in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 6 (November - December 2010)PermalinkLocal manifold learning-based k-Nearest-Neighbor for hyperspectral image classification / Li Ma in IEEE Transactions on geoscience and remote sensing, vol 48 n° 11 (November 2010)PermalinkMultiple Spectral–Spatial Classification Approach for Hyperspectral Data / Yuliya Tarabalka in IEEE Transactions on geoscience and remote sensing, vol 48 n° 11 (November 2010)PermalinkMaking photogrammetry efficient: SimActive's Correlator3D software / P. Simard in Geoinformatics, vol 13 n° 7 (01/10/2010)PermalinkA two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters / H. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)PermalinkCartographie héliportée avec un système Lidar photogrammétrique portable à la main : expériences pratiques en montagne, analyse des performances et de la phase de calibration / Jacques Vallet in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkDigital imagery for coastal monitoring / M. Cotchin in GEO: Geoconnexion international, vol 9 n° 8 (september 2010)PermalinkOpen source water quality analysis / A. Lo Tauro in GEO: Geoconnexion international, vol 9 n° 8 (september 2010)PermalinkPersistent scatterer interferometry : potential, limits and initial C- and X-band comparison / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)PermalinkUsing aerial imagery and GIS in automated building footprint extraction and shape recognition for earthquake risk assessment of urban inventories / L. Sahar in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)PermalinkDamage consequence chain mapping after the Wenchuan Earthquake using remotely sensed data / H. Guo in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)PermalinkAcquisition, orthorectification, and object-based classification of Unmanned Aerial Vehicle (UAV) imagery for rangeland monitoring / A. Laliberte in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)PermalinkRéseaux de talwegs en secteurs érodés : de la détection spatiale à l'analyse fractale / N. Thommeret in Revue internationale de géomatique, vol 20 n° 2 (juin - aout 2010)PermalinkGeneration of complex polyhedral building models by integrating stereo-aerial imagery and Lidar data / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)PermalinkAerial archaeology in Italy / G. Ceraudo in Photo interprétation, European journal of applied remote sensing, vol 46 n° 1 (mars 2010)PermalinkComment les "pros" s'intéressent aux globes virtuels grand public ? / Françoise de Blomac in SIG la lettre, n° 115 (mars 2010)PermalinkDie Entwicklung photogrammetrischer Verfahren und Instrumente bei Carl Zeiss in Oberkochen / Dierk Hobbie (2010)PermalinkPermalinkPermalink