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Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake / X. Tong in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
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Titre : Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake Type de document : Article/Communication Auteurs : X. Tong, Auteur ; Z. Hong, Auteur ; S. Liu, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 13 - 27 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] bati
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] hauteur du bâti
[Termes IGN] image Ikonos
[Termes IGN] modèle numérique de surface
[Termes IGN] séisme
[Termes IGN] Setchouan (Chine)Résumé : (Auteur) To address the disadvantage of traditional methods providing only two-dimensional (2D) damage change of the collapsed buildings, this paper presents an approach for the detection of the buildings that have collapsed in an earthquake based on 3D geometric changes, particularly height change of the buildings, using pre- and post-seismic IKONOS stereo image pairs. One of the critical issues – the accuracy of the 3D ground point determination from high-resolution satellite imagery (HRSI) – is first addressed employing a bias-compensation model based on the rational function polynomial coefficient bundle adjustment. With the refined 3D ground coordinates, two ways of detecting the collapsed buildings are proposed: (1) detection of an individual collapsed building by comparing the height differences at the corner points of the building calculated from the pre- and post-seismic IKONOS stereo pairs and (2) determination of the region of collapsed buildings by calculating the difference between the pre- and post-seismic digital elevation models (DEMs) generated again from the pre- and post-seismic stereo images. At the same time, a pre-seismic DEM based on a topographical map is generated for detection comparison in the study. The experiment results for Dujiangyan using two IKONOS stereo pairs before and after the Wenchuan earthquake demonstrated the following. (1) Accuracy of better than 1.1 m in planimetry and 1.5 m in height can be achieved from the pre- and post-seismic IKONOS stereo image pairs using the affine bias compensation model. This accuracy guarantees the feasibility of detecting the 3D geometric changes of the earthquake-induced building collapses from pre- and post-seismic HRSI stereo images. (2) Using the refined 3D coordinates of the ground points computed from the pre- and post-seismic IKONOS stereo pairs, the status (i.e., totally collapsed, partially collapsed or not collapsed) and the number of collapsed storeys can be estimated for an individual building being assessed. (3) The region of collapsed buildings can be determined by differencing the pre- and post-seismic DEMs created from the pre- and post-seismic IKONOS stereo pairs. An overall accuracy of better than 90% is achieved for the detection of the collapsed buildings based on the difference DEM using the pixel- and object-based assessment methods. Numéro de notice : A2012-145 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.12.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.12.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31592
in ISPRS Journal of photogrammetry and remote sensing > vol 68 (March 2012) . - pp 13 - 27[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012021 SL Revue Centre de documentation Revues en salle Disponible Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation / R. Avtar in Geocarto international, vol 27 n° 2 (March 2012)
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Titre : Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation Type de document : Article/Communication Auteurs : R. Avtar, Auteur ; H. Sawada, Auteur ; Wataru Takeuchi, Auteur ; G. Singh, Auteur Année de publication : 2012 Article en page(s) : pp 119 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Cambodge
[Termes IGN] caractérisation
[Termes IGN] déboisement
[Termes IGN] décomposition d'image
[Termes IGN] forêt tropicale
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] indice de végétation
[Termes IGN] sylvicultureRésumé : (Auteur) In this study, we have demonstrated the capability of full polarimetric ALOS/Phased Array L-band Synthetic Aperture Radar data for the characterization of the forests and deforestation in Cambodia, to support climate change mitigation policies of Reducing Emission from Deforestation and Forest Degradation (REDD). We have observed mean backscattering coefficient (ó°), entropy (H), alpha angle (á), anisotropy (A), pedestal height (PH), Radar Vegetation Index (RVI) and Freeman–Durden three-component decomposition parameters. The observations show that the forest types and deforested areas are showing variable polarimetric and backscattering properties because of the structural difference. Evergreen forest is characterized by a high value of ó° HV (-12.96 dB) as compared with the deforested area (ó° HV=-22.2 dB). The value of polarimetric parameters such as entropy (0.93), RVI (0.91), PH (0.41) and Freeman–Durden volume scattering (0.43) is high for evergreen forest, whereas deforested area is characterized by the low values of entropy (0.36) and RVI (0.17). Based on these parameters, it is found that ó° HV, entropy, RVI and PH provide best results among other parameters. Numéro de notice : A2012-126 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.626081 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.626081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31574
in Geocarto international > vol 27 n° 2 (March 2012) . - pp 119 - 137[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Exposure estimation from multi-resolution optical satellite imagery for seismic risk assessment / Marc Wieland in ISPRS International journal of geo-information, vol 1 n°1 (March 2012)
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Titre : Exposure estimation from multi-resolution optical satellite imagery for seismic risk assessment Type de document : Article/Communication Auteurs : Marc Wieland, Auteur ; Massimiliano Pittore, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 69 - 88 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aléa
[Termes IGN] image Landsat
[Termes IGN] image optique
[Termes IGN] image Quickbird
[Termes IGN] Kirghizistan
[Termes IGN] risque naturel
[Termes IGN] séisme
[Termes IGN] vulnérabilitéRésumé : (auteur) Given high urbanization rates and increasing spatio-temporal variability in many present-day cities, exposure information is often out-of-date, highly aggregated or spatially fragmented, increasing the uncertainties associated with seismic risk assessments. This work therefore aims at using space-based technologies to estimate, complement and extend exposure data at multiple scales, over large areas and at a comparatively low cost for the case of the city of Bishkek, Kyrgyzstan. At a neighborhood scale, an analysis of urban structures using medium-resolution optical satellite images is performed. Applying image classification and change-detection analysis to a time-series of Landsat images, the urban environment can be delineated into areas of relatively homogeneous urban structure types, which can provide a first estimate of an exposed building stock (e.g., approximate age of structures, composition and distribution of predominant building types). At a building-by-building scale, a more detailed analysis of the exposed building stock is carried out using a high-resolution Quickbird image. Furthermore, the multi-resolution datasets are combined with census data to disaggregate population statistics. The tools used within this study are being developed on a free- and open-source basis and aim at being transparent, usable and transferable. Numéro de notice : A2012-702 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi1010069 En ligne : https://doi.org/10.3390/ijgi1010069 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77888
in ISPRS International journal of geo-information > vol 1 n°1 (March 2012) . - pp 69 - 88[article]Monitoring disasters with a constellation of satellites - type examples from the International Charter ‘Space and Major Disasters’ / A. Mahmood in Geocarto international, vol 27 n° 2 (March 2012)
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Titre : Monitoring disasters with a constellation of satellites - type examples from the International Charter ‘Space and Major Disasters’ Type de document : Article/Communication Auteurs : A. Mahmood, Auteur Année de publication : 2012 Article en page(s) : pp 91 - 101 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] image multi sources
[Termes IGN] image satellite
[Termes IGN] prévention des risques
[Termes IGN] risque majeurRésumé : (Auteur) In the case of a major disaster, information derived from satellite observation is not only highly useful, it may at times be indispensable because of the damage caused by the disaster to ground infrastructure. The International Charter ‘Space and Major Disasters’ (‘the Charter’) has been one of the primary sources of satellite data for the past 11 years to cover events like floods, fires, tsunamis, ocean storms, earthquakes, volcanic eruptions and oil spills. With the growing membership of the Charter, an increasingly large number of sensors are now available, which can be planned with the required temporal frequency and spectral range to cover a disaster event. Some of the type Charter activation cases are reported in this article to demonstrate the innovative use of multi-satellite imagery for disaster response. Numéro de notice : A2012-125 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.622051 Date de publication en ligne : 26/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.622051 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31573
in Geocarto international > vol 27 n° 2 (March 2012) . - pp 91 - 101[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Relative radiometric correction of multi-temporal ALOS AVNIR-2 data for the estimation of forest attributes / Q. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
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Titre : Relative radiometric correction of multi-temporal ALOS AVNIR-2 data for the estimation of forest attributes Type de document : Article/Communication Auteurs : Q. Xu, Auteur ; Z. Hou, Auteur ; Timo Tokola, Auteur Année de publication : 2012 Article en page(s) : pp 69 - 78 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] correction radiométrique
[Termes IGN] détection
[Termes IGN] forêt
[Termes IGN] image ALOS-AVNIR2
[Termes IGN] image multitemporelle
[Termes IGN] précision des données
[Termes IGN] troncRésumé : (Auteur) Relative radiometric correction methods have been widely used to correct ground illumination difference in multi-temporal satellite data. ALOS (Advanced Land Observing Satellite) data starts to play an important role in forest and carbon assessment, such as the REDD (Reducing Emissions from Deforestation and forest Degradation) program. The objective of the study was to compare three relative radiometric correction methods for five multi-temporal ALOS AVNIR-2 (Advanced Visible and Near Infrared Radiometer) images, and to examine the influence of each correction method on the estimation accuracy of forest attributes with auxiliary field inventory plot data. Both spectral features and textural features were extracted before and after radiometric correction and used in estimation procedure. All the radiometric correction methods used improved the estimation accuracy of forest stem volume at plot level, and they were MAD (multivariate alteration detection) transformation-based normalization, PCA (principle component analysis)-based correction and local radiometric correction, among which MAD transformation-based normalization exceeded others by reducing the relative RMSE by 5.75% with the ordinary least square fitting and 6.8% with the K-MSN (K-Most Similar Neighbour) method both after leave-one-out cross-validation. RMSE for only the corrected area is also calculated, in view of the small proportion of plots in that area. The result can be used to improve the visual effect of mosaics of multi-temporal ALOS scenes, and to retrieve more accurate forest estimates for national forest resources and biomass mapping. Numéro de notice : A2012-147 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.12.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.12.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31594
in ISPRS Journal of photogrammetry and remote sensing > vol 68 (March 2012) . - pp 69 - 78[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012021 SL Revue Centre de documentation Revues en salle Disponible Utilisation d'images à haute et très haute résolution pour la mise à jour de la carte de l'Aquila (Italie) / Valerio Baiocchi in Géomatique expert, n° 85 (01/03/2012)
PermalinkAn edge-oriented approach to thematic map error assessment / S. Sweeney in Geocarto international, vol 27 n° 1 (February 2012)
PermalinkCarbon Stock of European Beech Forest : A Case at M. Pizzalto, Italy / Aida Taghavi Bayat in APCBEE Procedia, vol 1 (2-20)
PermalinkA longitudinal study of malaria associated with deforestation in Sonitpur district of Assam, India / M. Nath in Geocarto international, vol 27 n° 1 (February 2012)
PermalinkMarkov Chain CFAR detection for polarimetric data using data fusion / C. Fei in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkAutomatic cloud detection from multi-temporal satellite images: towards the use of Pléiades time series / Nicolas Champion (2012)
PermalinkCartographie du déboisement à partir de données à haute résolution spatiale / Yannick Philippets (2012)
PermalinkCharacterization of Arctic sea ice thickness using high-resolution spaceborne polarimetric SAR data / J.W. Kim in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkDétection et identification de zones de végétation arborée: utilisation conjointe d'images satellite RapidEye et de données BDOrtho / François Tassin (2012)
PermalinkPermalinkExtracting precise and affordable DEMs despite of the clouds. Ajax: the joining of radar and optical strengths / Laurent Cunin (2012)
PermalinkGénération et qualification de modèles numériques de surface de haute résolution spatiale par interférométrie radar à synthèse d'ouverture / Paul Landel (2012)
PermalinkA genetic fuzzy-rule-based classifier for land cover classification from hyperspectral imagery / Dimitris G. Stavrakoudis in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkJoint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring / E. Lehmann in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkLong-term consecutive DInSAR for volume change estimation of land deformation / S. Sumantyo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkPléiades plus près, plus vite, plus précis : des demandes prioritaires / B. Thomas in CNES Mag, n° 52 (01/01/2012)
PermalinkPermalinkPermalinkUpdating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D / Emilie Le Hir in Journal of The Remote Sensing Society of Japan, vol 32 n° 1 (January 2012)
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PermalinkAn assessment of internal neural network parameters affecting image classification accuracy / L. Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 12 (December 2011)
PermalinkClustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm / O. Sjahputera in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
PermalinkDevelopment of an open-source toolbox for the analysis and visualization of remotely sensed time series / C. Block in Cartographica, vol 46 n° 4 (December 2011)
PermalinkObject-based image analysis of high-resolution satellite images using modified cloud basis function neural network and probabilistic relaxation labeling process / A. Rizvi in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
PermalinkParametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data / Ronald E. McRoberts in Remote sensing of environment, vol 115 n° 12 (december 2011)
PermalinkRecherche de motifs et cartographie des surfaces agricoles : Des relevés de terrain aux données satellitaires : application au Mali / E. Vintrou in Revue internationale de géomatique, vol 21 n° 4 (décembre 2011 – février 2012)
PermalinkRéduction du chatoiement et apport des données ASAR Envisat et MNE SRTM à la cartographie hydrostructurale du bassin côtier de l'Agnéby (Sud-Est de la côte d'Ivoire) / T. Assoma in Photo interprétation, European journal of applied remote sensing, vol 47 n° 4 (décembre 2011)
PermalinkThe crustal deformation and fault model of the 2011 off the Pacific coast of Tohoku earthquake / T. Imakiire in Bulletin of the GeoSpatial Information authority of Japan, vol 59 (December 2011)
PermalinkUne approche parallèle d'évaluation des paramètres de texture pour l'analyse d'images de grande taille / N. Talla Tankam in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)
PermalinkCartographie des linéaments et lithologique dans le secteur de Sebt Brikyne (jonction Doukkala-Rehamna, Maroc) par l'utilisation de l'imagerie satellitaire optique et radar / K. Labassi in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)
PermalinkClassification orientée-objet supervisée d'une forêt avec une sélection guidée d'attributs personnalisés / Olivier de Joinville in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 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)
PermalinkPhosphate mine subsidences deduced from differential interferometry (DInSAR): The Moulares case example (southern Atlas of Tunisia) / Mehdi Ben Hassen in Comptes rendus : Géoscience, vol 343 n° 11-12 (November - December 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)
PermalinkDamage assessment of 2010 Haïti earthquake with post-earthquake satellite image by support vector selection and adaptation / Gülsen Taskin Kaya in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 10 (October 2011)
PermalinkDevelopment of a modified neural network-based land cover classification system using automated data selector and multiresolution remotely sensed data / S. Khorram in Geocarto international, vol 26 n° 6 (October 2011)
PermalinkEstimation of forest stand volume, tree density and biodiversity using Landsat ETM + Data, comparison of linear and regression tree analyses / Jahangir Mohammadi in Procedia Environmental Sciences, vol 7 (2011)
PermalinkGeolocation and stereo height estimation using TerraSAR-X spotlight image data / K. Eldhuset in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkRadar backscatter mapping using TerraSAR-X / P. Rizzoli in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)
PermalinkAutomated damage indication for rapid geospatial reporting / D. Tiede in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)
PermalinkLes cartes dasymétriques et l’apport des images satellitaires dans la représentation de la densité de la population dans le gouvernorat élargi de Kairouan en Tunisie / Aziz Serradj (01/09/2011)
PermalinkÉvaluation des changements d’occupation des sols en zone côtière à partir de données hétérogènes / L. Sparfel in Revue internationale de géomatique, vol 21 n° 3 (septembre - novembre 2011)
PermalinkFusion de données topographiques pour la réalisation d'un modèle numérique de terrain : Application à la modélisation de la crue du Niger / Elodie Paris in XYZ, n° 128 (septembre - novembre 2011)
PermalinkPrediction of the error induced by topography in satellite microwave radiometric observations / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkSeismic-zonation of Port-au-Prince using pixel- object-based imaging analysis methods on Aster GDEM / S. Yong in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)
PermalinkThree-dimensional humidity retrieval using a network of compact microwave radiometers to correct for variations in wet tropospheric path delay in spaceborne interferometric SAR imagery / S. Sahoo in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkUse of geo-spatial information and technologies for analyzing morphological changes in the Greater Visakhapatnal coastal region east coast of India / P. Latha in Geocarto international, vol 26 n° 5 (August 2011)
PermalinkA multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)
PermalinkGeoreferencing performance of THEOS satellite imagery / S. Liu in Photogrammetric record, vol 26 n° 134 (June - August 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)
PermalinkA "new hybrid" modelling for geometric processing of Radarsat-2 data without user's GCP / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 6 (June 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)
PermalinkThe application of ASTER imageries and mathematical evaluation method in detecting cyanobacteria in biological soil crust, Chadormalu area, Central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 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)
PermalinkDétection de bateaux dans les images satellitaires optiques panchromatiques / N. Proia in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)
PermalinkExtraction of cartographic contour lines using digital terrain Model (DTM) / Kusay Jaara in Cartographic journal (the), vol 48 n° 2 (May 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)
PermalinkIntegrating remote sensing in Natura 2000 habitat monitoring: Prospects on the way forward / Jeroen Vanden Borre in Journal for nature conservation, vol 19 n° 2 (May 2011)
PermalinkMonitoring Japan's triple disasters from space / Anonyme in GEO: Geoconnexion international, vol 10 n° 5 (may 2011)
PermalinkA new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform / J. Saeedi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
PermalinkElectromagnetic land surface classification through integration of optical and radar remote sensing data / J. Baek in IEEE Transactions on geoscience and remote sensing, vol 49 n° 4 (April 2011)
PermalinkHigh definition surveying and laser scanning : Leica Geosystems' Geoff Jacobs / J. Triglav in Geoinformatics, vol 14 n° 3 (01/04/2011)
PermalinkPermalinkPermalinkApport de l'image satellitaire à l'analyse de la tectonique active dans les confins d'Aurès-Hodna (Atlas saharien, Algérie) / R. Marmi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 1 (mars 2011)
PermalinkApproches par télédétection et cartographie des espaces sahéliens mauritaniens / A. Cotonnec in Le monde des cartes, n° 207 (mars 2011)
PermalinkPermalinkEstimation des changements de la ligne de rivage sur un littoral sableux par l'imagerie Corona et Spot-5 : cas de la région d'Abidjan (Sud de la Côte d'Ivoire) / B. Touré in Photo interprétation, European journal of applied remote sensing, vol 47 n° 1 (mars 2011)
PermalinkIt's all about elevation: Radar satellites cover our Earth in 3D / Gertrud Riegler in Geoinformatics, vol 14 n° 2 (01/03/2011)
PermalinkPermalinkNew data sources for completing national topographic mapping of Northern Canada at 1:50,000 / D. Clavet in Geomatica, vol 65 n° 1 (March 2011)
PermalinkLa télédétection et son application à l'étude de la végétation : quelques principes / Anne Jolly in Rendez-vous techniques, n° 31 (hiver 2011)
PermalinkMonitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series / Dominique Guyon in Remote sensing of environment, vol 115 n° 2 ([15/02/2011])
PermalinkConstruction of digital 3D highway model using stereo IKONOS satellite imagery / Ahmed Shaker in Geocarto international, vol 26 n° 1 (February 2011)
PermalinkA genetic algorithm approach to moving threshold optimization for binary change detection / J. Im in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)
PermalinkPermalinkImpervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (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)
Permalink2D change detection from satellite imagery: Performance analysis and impact of the spatial resolution of input images / Nicolas Champion (2011)
PermalinkChange detection in a topographic building database using submetric satellite images / Arnaud Le Bris (2011)
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PermalinkDétection de changement 2D à partir d’imagerie satellitaire : Application à la mise à jour des bases de données géographiques / Nicolas Champion (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)
PermalinkPermalinkGIS integration dream: former raster nightmare / K. Jones in Geoinformatics, vol 14 n° 1 (01/01/2011)
PermalinkA hybrid classification scheme for mining multisource geospatial data / R. Vatsavai in Geoinformatica, vol 15 n° 1 (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)
PermalinkLand cover classification of cloud-contaminated multitemporal high-resolution images / A. Salberg in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 2 (January 2011)
PermalinkPermalinkA new standard for analyzing geospatial intelligence, Geo-fused video / W. Smith in Geoinformatics, vol 14 n° 1 (01/01/2011)
PermalinkObservation de la Terre par télédétection, 1. Fondements physiques, méthodologiques et technologiques, volume 1 / François Becker (2011)
PermalinkL'occupation du sol fait ses preuves en région / Françoise de Blomac in SIG la lettre, n° 123 (janvier 2011)
PermalinkOn the capability of very high resolution satellite and ground probing radar techniques for detecting buried archaeological adobe structures / Rosa Lasaponara in Revue Française de Photogrammétrie et de Télédétection, n° 193 (Janvier 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)
PermalinkL'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)
PermalinkParameterizing support vector machines for land cover classification / X. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)
PermalinkPrecise georeferencing of long strips of ALOS imagery / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)
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