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Coral habitat mapping: a comparison between maximum likelihood, Bayesian and Dempster–Shafer classifiers / Mohammad Shawkat Hossain in Geocarto international, vol 36 n° 11 ([15/06/2021])
[article]
Titre : Coral habitat mapping: a comparison between maximum likelihood, Bayesian and Dempster–Shafer classifiers Type de document : Article/Communication Auteurs : Mohammad Shawkat Hossain, Auteur ; Aidy M. Muslim, Auteur ; Muhammad Izuan Nadzri, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 1217 - 1235 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte thématique
[Termes IGN] classification bayesienne
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification pixellaire
[Termes IGN] fond marin
[Termes IGN] Google Earth
[Termes IGN] habitat d'espèce
[Termes IGN] image Quickbird
[Termes IGN] Malaisie
[Termes IGN] précision infrapixellaire
[Termes IGN] récif corallienRésumé : (auteur) This study deals with the mixed-pixel problem of detecting benthic habitat class membership and evaluates two soft classifiers for coral habitat mapping on Lang Tengah island (Malaysia). A comparison was made between the Bayesian and Dempster–Shafer (D–S) with a traditional maximum likelihood (ML). The heterogeneous pattern of reef environment, established by field observation, four classes of coral habitats containing various combinations of live coral, dead coral with algae, rubble coral and sand. Posterior probability and belief maps, generated by Bayesian and D–S, respectively, were evaluated by visual inspection and final coral habitat distribution maps were validated via accuracy assessment estimates. The accuracy validation tests agreed with the visual inspection of the probability, uncertainty and coral distribution maps. The Bayesian algorithm performed better, with a 34.7–68.5% improvement in accuracy compared to D–S and ML, respectively. Probability maps demonstrate the advantages of the soft classifier over the hard classifier for coral mapping. Numéro de notice : A2021-435 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1637466 Date de publication en ligne : 10/07/2019 En ligne : https://doi.org/10.1080/10106049.2019.1637466 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97803
in Geocarto international > vol 36 n° 11 [15/06/2021] . - pp 1217 - 1235[article]Pan-sharpening via multiscale dynamic convolutional neural network / Jianwen Hu in IEEE Transactions on geoscience and remote sensing, Vol 59 n° 3 (March 2021)
[article]
Titre : Pan-sharpening via multiscale dynamic convolutional neural network Type de document : Article/Communication Auteurs : Jianwen Hu, Auteur ; Pei Hu, Auteur ; Xudong Kang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2231 - 2244 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] données multiéchelles
[Termes IGN] image Geoeye
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] image Worldview
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] reconstruction d'imageRésumé : (Auteur) Pan-sharpening is an effective method to obtain high-resolution multispectral images by fusing panchromatic (PAN) images with fine spatial structure and low-resolution multispectral images with rich spectral information. In this article, a multiscale pan-sharpening method based on dynamic convolutional neural network is proposed. The filters in dynamic convolution are generated dynamically and locally by the filter generation network which is different from the standard convolution and strengthens the adaptivity of the network. The dynamic filters are adaptively changed according to the input images. The proposed multiscale dynamic convolutions extract detail feature of PAN image at different scales. Multiscale network structure is beneficial to obtain effective detail features. The weights obtained by the weight generation network are used to adjust the relationship among the detail features in each scale. The GeoEye-1, QuickBird, and WorldView-3 data are used to evaluate the performance of the proposed method. Compared with the widely used state-of-the-art pan-sharpening approaches, the experimental results demonstrate the superiority of the proposed method in terms of both objective quality indexes and visual performance. Numéro de notice : A2021-216 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.3007884 Date de publication en ligne : 16/07/2020 En ligne : https://doi.org/10.1109/TGRS.2020.3007884 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97206
in IEEE Transactions on geoscience and remote sensing > Vol 59 n° 3 (March 2021) . - pp 2231 - 2244[article]A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery / Farzaneh Dadrass Javan in ISPRS Journal of photogrammetry and remote sensing, vol 171 (January 2021)
[article]
Titre : A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery Type de document : Article/Communication Auteurs : Farzaneh Dadrass Javan, Auteur ; Farhad Samadzadegan, Auteur ; Soroosh Mehravar, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 101 - 117 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] affinage d'image
[Termes IGN] analyse de variance
[Termes IGN] fusion d'images
[Termes IGN] image Kompsat
[Termes IGN] image à haute résolution
[Termes IGN] image Geoeye
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Pléiades-HR
[Termes IGN] image Quickbird
[Termes IGN] image Worldview
[Termes IGN] netteté
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] pouvoir de résolution spectraleRésumé : (auteur) Pan-sharpening methods are commonly used to synthesize multispectral and panchromatic images. Selecting an appropriate algorithm that maintains the spectral and spatial information content of input images is a challenging task. This review paper investigates a wide range of algorithms, including 41 methods. For this purpose, the methods were categorized as Component Substitution (CS-based), Multi-Resolution Analysis (MRA), Variational Optimization-based (VO), and Hybrid and were tested on a collection of 21 case studies. These include images from WorldView-2, 3 & 4, GeoEye-1, QuickBird, IKONOS, KompSat-2, KompSat-3A, TripleSat, Pleiades-1, Pleiades with the aerial platform, and Deimos-2. Neural network-based methods were excluded due to their substantial computational requirements for operational mapping purposes. The methods were evaluated based on four Spectral and three Spatial quality metrics. An Analysis Of Variance (ANOVA) was used to statistically compare the pan-sharpening categories. Results indicate that MRA-based methods performed better in terms of spectral quality, whereas most Hybrid-based methods had the highest spatial quality and CS-based methods had the lowest results both spectrally and spatially. The revisited version of the Additive Wavelet Luminance Proportional Pan-sharpening method had the highest spectral quality, whereas Generalized IHS with Best Trade-off Parameter with Additive Weights showed the highest spatial quality. CS-based methods generally had the fastest run-time, whereas the majority of methods belonging to MRA and VO categories had relatively long run times. Numéro de notice : A2021-014 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.11.001 Date de publication en ligne : 21/11/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.11.001 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96418
in ISPRS Journal of photogrammetry and remote sensing > vol 171 (January 2021) . - pp 101 - 117[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2021011 SL Revue Centre de documentation Revues en salle Disponible 081-2021013 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2021012 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt GIS-based modeling for selection of dam sites in the Kurdistan region, Iraq / Arsalan Ahmed Othman in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)
[article]
Titre : GIS-based modeling for selection of dam sites in the Kurdistan region, Iraq Type de document : Article/Communication Auteurs : Arsalan Ahmed Othman, Auteur ; Ahmed F. Al-Maamar, Auteur ; Diary Ali Mohammed Amin Al-Manmi, Auteur Année de publication : 2020 Article en page(s) : 34 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] barrage
[Termes IGN] capacité de stockage
[Termes IGN] construction
[Termes IGN] gestion de l'eau
[Termes IGN] image Landsat-8
[Termes IGN] image Landsat-OLI
[Termes IGN] image Quickbird
[Termes IGN] Iraq
[Termes IGN] jeu de données localisées
[Termes IGN] processus de hiérarchisation analytique floue
[Termes IGN] régression géographiquement pondéréeRésumé : (auteur) Iraq, a country in the Middle East, has suffered severe drought events in the past two decades due to a significant decrease in annual precipitation. Water storage by building dams can mitigate drought impacts and assure water supply. This study was designed to identify suitable sites to build new dams within the Al-Khabur River Basin (KhRB). Both the fuzzy analytic hierarchy process (AHP) and the weighted sum method (WSM) were used and compared to select suitable dam sites. A total of 14 layers were used as input dataset (i.e., lithology, tectonic zones, distance to active faults, distance to lineaments, soil type, land cover, hypsometry, slope gradient, average precipitation, stream width, Curve Number Grid, distance to major roads, distance to towns and cities, and distance to villages). Landsat-8/Operational Land Imager (OLI) and QuickBird optical images were used in the study. Three types of accuracies were tested: overall, suitable pixels by number, and suitable pixels by weight. Based on these criteria, we determined that 11 sites are suitable for locating dams for runoff harvesting. Results were compared to the location of 21 preselected dams proposed by the Ministry of Agricultural and Water Resources (MAWR). Three of these dam sites coincide with those proposed by the MAWR. The overall accuracies of the 11 dams ranged between 76.2% and 91.8%. The two most suitable dam sites are located in the center of the study area, with favorable geology, adequate storage capacity, and in close proximity to the population centers. Of the two selection methods, the AHP method performed better as its overall accuracy is greater than that of the WSM. We argue that when stream discharge data are not available, use of high spatial resolution QuickBird imageries to determine stream width for discharge estimation is acceptable and can be used for preliminary dam site selection. The study offers a valuable and relatively inexpensive tool to decision-makers for eliminating sites having severe limitations (less suitable sites) and focusing on those with the least restriction (more suitable sites) for dam construction. Numéro de notice : A2020-265 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9040244 Date de publication en ligne : 15/04/2020 En ligne : https://doi.org/10.3390/ijgi9040244 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95028
in ISPRS International journal of geo-information > vol 9 n° 4 (April 2020) . - 34 p.[article]Spectral–spatial–temporal MAP-based sub-pixel mapping for land-cover change detection / Da He in IEEE Transactions on geoscience and remote sensing, vol 58 n° 3 (March 2020)
[article]
Titre : Spectral–spatial–temporal MAP-based sub-pixel mapping for land-cover change detection Type de document : Article/Communication Auteurs : Da He, Auteur ; Yanfei Zhong, Auteur ; Liangpei Zhang, Auteur Année de publication : 2020 Article en page(s) : pp 1696 - 1717 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] changement d'occupation du sol
[Termes IGN] classification du maximum a posteriori
[Termes IGN] détection de changement
[Termes IGN] distribution spatiale
[Termes IGN] données spatiotemporelles
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Landsat-8
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] image Terra-MODIS
[Termes IGN] modèle dynamique
[Termes IGN] optimisation spatiale
[Termes IGN] précision infrapixellaire
[Termes IGN] série temporelle
[Termes IGN] urbanisation
[Termes IGN] Wuhan (Chine)
[Termes IGN] zone urbaineRésumé : (Auteur) The maximum a posteriori (MAP) estimation model-based sub-pixel mapping (SPM) method is an alternative way to solve the ill-posed SPM problem. The MAP estimation model has been proven to be an effective SPM approach and has been extensively developed over the past few years, as a result of its effective regularization capability that comes from the spatial regularization model. However, various spatial regularization models do not always truly reflect the detailed spatial distribution in a real situation, and the over-smoothing effect of the spatial regularization model always tends to efface the detailed structural information. In this article, under the scenario of time-series observation by remote sensing imagery, the joint spectral–spatial–temporal MAP-based (SST_MAP) model for SPM is proposed. In SST_MAP, a newly developed temporal regularization model is added to the MAP model, based on the prerequisite for a temporally close fine image covering the same study region. This available fine image can provide the specific spatial structures most closely conforming to the ground truth for a more precise constraint, thereby reducing the over-smoothing effect. Furthermore, the three dimensions are mutually balanced and mutually constrained, to reach an equilibrium point and achieve restoration of both smooth areas for the homogeneous land-cover classes and a detailed structure for the heterogeneous land-cover classes. Four experiments were designed to validate the proposed SST_MAP: three synthetic-image experiments and one real-image experiment. The restoration results confirm the superiority of the proposed SST_MAP model. Notably, under the background of time-series observation, SST_MAP provides an alternative way of land-cover change detection (LCCD), achieving both detailed spatial-scale and high-frequency temporal LCCD observation for the study case of urbanization analysis within the city of Wuhan in China. Numéro de notice : A2020-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2947708 Date de publication en ligne : 18/12/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2947708 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94662
in IEEE Transactions on geoscience and remote sensing > vol 58 n° 3 (March 2020) . - pp 1696 - 1717[article]A two-scale approach for estimating forest aboveground biomass with optical remote sensing images in a subtropical forest of Nepal / Upama A. Koju in Journal of Forestry Research, vol 30 n° 6 (December 2019)PermalinkPermalinkChange detection based on stacked generalization system with segmentation constraint / Kun Tan in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 11 (November 2018)PermalinkPan-sharpening via deep metric learning / Yinghui Xing in ISPRS Journal of photogrammetry and remote sensing, vol 145 - part A (November 2018)PermalinkAn effective ensemble classification framework using random forests and a correlation based feature selection technique / Dibyajyoti Chutia in Transactions in GIS, vol 21 n° 6 (December 2017)PermalinkUnsupervised-restricted deconvolutional neural network for very high resolution remote-sensing image classification / Yiting Tao in IEEE Transactions on geoscience and remote sensing, vol 55 n° 12 (December 2017)PermalinkEvaluation of pan-sharpening methods for spatial and spectral quality / Jagalingam Pushparaj in Applied geomatics, vol 9 n° 1 (March 2017)PermalinkUtilisation d’image THR et drone pour l’étude de la dynamique côtière d’Ouvéa (Île des Loyautés - Nouvelle Calédonie) / Sabrina Bosque (2017)PermalinkUrban slum detection using texture and spatial metrics derived from satellite imagery / Divyani Kohli in Journal of spatial science, vol 61 n° 2 (December 2016)PermalinkEarth observation-based multi-scale impact assessment of internally displaced person (IDP) camps on wood resources in Zalingei, Darfur / Kristin Spröhnle in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)PermalinkData fusion technique using wavelet transform and Taguchi methods for automatic landslide detection from airborne laser scanning data and QuickBird satellite imagery / Biswajeet Pradhan in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkA feature selection approach for segmentation of very high-resolution satellite images / Ahmad Izadipour in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 3 (March 2016)PermalinkQuantitative quality evaluation of pansharpened imagery: consistency versus synthesis / Frosti Palsson in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkRoad vectorisation from high-resolution imagery based on dynamic clustering using particle swarm optimisation / Fateme Ameri in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)PermalinkDistinctive order based self-similarity descriptor for multi-sensor remote sensing image matching / Amin Sedaghat in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)PermalinkOperationalizing measurement of forest degradation: Identification and quantification of charcoal production in tropical dry forests using very high resolution satellite imagery / K. Dons in International journal of applied Earth observation and geoinformation, vol 39 (July 2015)PermalinkToward evaluating multiscale segmentations of high spatial resolution remote sensing images / Xueliang Zhang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 7 (July 2015)PermalinkA fuzzy spatial reasoner for multi-scale GEOBIA ontologies / Argyros Argyridis in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 6 (June 2015)PermalinkBiomass estimation with high resolution satellite images: A case study of Quercus rotundifolia / Adelia M.O. Sousa in ISPRS Journal of photogrammetry and remote sensing, vol 101 (March 2015)PermalinkEmploying ground and satellite-based QuickBird data and Random forest to discriminate five tree species in a Southern African Woodland / Samuel Adelabu in Geocarto international, vol 30 n° 3 - 4 (March - April 2015)PermalinkUne approche basée objet combinée avec les classifieurs avancés (SVM, RF, Extra Trees) pour la détection des changements du bâti / Loubna Elmansouri in Revue internationale de géomatique, vol 24 n° 2 (juin - août 2014)PermalinkCaractérisation et cartographie de la structure forestière à partir d'images satellitaires à très haute résolution spatiale / Benoit Beguet (2014)PermalinkFast hierarchical segmentation of high-resolution remote sensing images with adaptative edge penalty / Xuellang Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)PermalinkA combined object- and pixel-based image analysis framework for urban land cover classification of VHR imagery / Bahram Salehi in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 11 (November 2013)PermalinkComparaison entre les méthodes J-SEG et MeanShift : application sur des données THRS / Rabia Sarah Cheriguene in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)PermalinkTexture augmented detection of macrophyte species using decision trees / Cameron Proctor in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)PermalinkA sparse image fusion algorithm with application to pan-sharpening / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)PermalinkBoundary-constrained multi-scale segmentation method for remote sensing images / Xueliang Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)PermalinkAutomated detection of arbitrarily shaped buildings in complex environments from monocular VHR optical satellite imagery / Ali Ozgun Ok in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)PermalinkSpectral angle mapper and object-based classification combined with hyperspectral remote sensing imagery for obtaining land use/cover mapping in a Mediterranean region / George P. Petropoulos in Geocarto international, vol 28 n° 1-2 (February - May 2013)PermalinkPermalinkCartographie des zones humides de montagne par télédétection : Potentialités des images à très haute résolution spatiale / L. Vacquié in Revue internationale de géomatique, vol 22 n° 4 (décembre 2012 – février 2013)PermalinkExtraction du trait instantané de côte à partir d'images optiques satellites haute-résolution et radar / Valerio Baiocchi in Géomatique expert, n° 89 (01/11/2012)PermalinkCombined use of Quickbird and lidar data for mapping a urban environment / N.B. Da Luz in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkProposta de uma metodologia econômica para o desenvolvimento de SIG 3D / M.A. Nero in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkAutomatic detection and segmentation of orchards using very high resolution imagery / Selim Aksoy in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkSynthesizing urban remote sensing through application, scale, data and case studies / E.A. Wentz in Geocarto international, vol 27 n° 5 (August 2012)PermalinkUse of high-resolution satellite imagery for investigating acid mine drainage from artisanal coal mining in North-Eastern India / B. Blahwar in Geocarto international, vol 27 n° 3 (June 2012)PermalinkExposure 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)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)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)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)PermalinkUse of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones / C. Gomez in Remote sensing of environment, vol 114 n° 11 (15/11/2010)PermalinkDétection de dommages et évaluation des dégâts du réseau routier après un séisme, en utilisant des images QuickBird haute résolution / A. Haghighattalab in XYZ, n° 124 (septembre - novembre 2010)PermalinkContext-based mapping of damaged buildings from high-resolution optical satellite images / T. Vu in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)PermalinkInventorying management status and plant species richness in seminatural grasslands using high spatial resolution imagery / K. Hall in Applied Vegetation Science, vol 13 n° 2 (April 2010)PermalinkContribution d'un système Lidar pour la reconstruction de la trame urbaine d'un village médiéval abandonné / Nicola Masini in Photo interprétation, European journal of applied remote sensing, vol 46 n° 1 (mars 2010)PermalinkA study of trajectory models for satellite image triangulation / Inseong Jeong in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 3 (March 2010)PermalinkAutomatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge / M. Bouziani in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)PermalinkExtraction et reconstruction des bâtiments en milieu urbain à partir d’images satellitaires optiques et radar à haute résolution / Hélène Sportouche (2010)PermalinkDéfinition des risques encourus par des pylônes électriques au moyen de l'évolution de l'érosion / G. Clasen Wosny in XYZ, n° 121 (décembre 2009 - février 2010)PermalinkMultitemporal Satellite High resolution images for the knowledge and the monitoring of the Iraqi archaeological sites: The case of Seleucia on the Tigris / G. Scardozzi in Photo interprétation, European journal of applied remote sensing, vol 45 n° 4 (novembre 2009)PermalinkLandsat tm and quickbird images for geological mapping in the syn-rift lower dogali formation (red sea coast, ne eritrea) / B. Antonielli in Photo interprétation, European journal of applied remote sensing, vol 45 n° 3 (septembre 2009)PermalinkGeoreferencing accuracy assessment of High-Resolution satellite images using figure condition method / Hyseyin Topan in IEEE Transactions on geoscience and remote sensing, vol 47 n° 4 (April 2009)PermalinkApprentissage automatique des classes d'occupation du sol et représentation en mots visuels des images satellitaires / Marie Lauginie Lienou (2009)PermalinkRegion based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison / B. Wuest in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 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)PermalinkClassification of very high spatial resolution imagery based on the fusion of edge and multispectral information / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkQuantifying indicators of riparian condition in Australian tropical savannas: integrating high spatial resolution imagery and field survey data / K. Johansen in International Journal of Remote Sensing IJRS, vol 29 n°23 - 24 (December 2008)PermalinkUsing texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses / F. Aguera in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)PermalinkDevelopment and testing of a generic sensor model for pushbroom satellite imagery / T. Weser in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkGeometric integration of aerial and high-resolution satellite imagery and application in shoreline mapping / R. Li in Marine geodesy, vol 31 n° 3 (September - November 2008)PermalinkAccuracy assessment of high resolution satellite imagery orientation by leave-one-out method / Maria Antonia Brovelli in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)PermalinkComparison of nine fusion techniques for very high resolution data / K.G. Nikolapoulos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)PermalinkUrban-trees extraction from Quickbird imagery using multiscale spectex-filtering and non-parametric classification / Y.O. Ouma 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)PermalinkA comparison of illumination geometry-based methods for topographic correction of QuickBird images of an undulant area / J. Wu in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 2 (March - April 2008)PermalinkTexture feature fusion with neighborhood oscillating tabu search for high resolution image classification / L. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)PermalinkComparison and improvement of wavelet-based image fusion / G. Hong in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)PermalinkLand-cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modelling / F. Yuan in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)PermalinkGeometric accuracy assessment of QuickBird basic imagery using different operational approaches / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)PermalinkTrop de satellites ? / T. Rousselin in SIG la lettre, n° 90 (octobre 2007)PermalinkAutomatic extraction of main road centrelines from high resolution satellite imagery using hierarchical grouping / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)PermalinkEstimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data / A.M. DE Asis in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)PermalinkIntegration of Ikonos and Quickbird imagery for geopositioning accuracy analysis / R. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)PermalinkLa morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS / David Sheeren in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)PermalinkInundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia / B.G. Mcadoo in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)PermalinkAutomated registration of high-resolution satellite images / C. Zhang in Photogrammetric record, vol 22 n° 117 (March - May 2007)PermalinkOcclusion-compensated true orthorectification for high-resolution satellite images / L.C. Chen in Photogrammetric record, vol 22 n° 117 (March - May 2007)PermalinkTerrestrial and submerged aquatic vegetation mapping in Fire Island national seashore using high spatial resolution remote sensing data / Y. Wang in Marine geodesy, vol 30 n° 1-2 (March - June 2007)PermalinkFFT-enhanced IHS transform method for fusing high-resolution satellite images / Y. Ling in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)PermalinkDétection des zones débroussaillées dans les images simulées ORFEO / Marie-Cécile Lyx (2007)PermalinkMapping urban land cover using Quickbird NDVI and GIS spatial modeling for runoff coefficient determination / P. Thanapura in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 1 (January 2007)PermalinkSeparating the weeds from the trees / M. Norris-Rogers in GIM international, vol 21 n° 1 (January 2007)Permalink3D physical versus empirical models for HR sensor orientation and elevation extraction: examples with Ikonos and Quickbird / Thierry Toutin in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)PermalinkAn integrated model to estimate the accuracy of digital orthoimages from high resolution satellite imagery / F. Aguilar in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)PermalinkAnalysis of rigorous orientation models for pushbroom sensors: applications with Quickbird / M. Crespi in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)PermalinkLineament analysis through remote sensing as a contribution to the identification of caves in western Lebanon / A. Shaban in Photo interprétation, vol 42 n° 4 (Décembre 2006)PermalinkPros and cons of the orientation of very high resolution optical space images / Karsten Jacobsen in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)PermalinkMapping salt-marsh vegetation by multispectral and hyperspectral remote sensing / E. Belluco in Remote sensing of environment, vol 105 n° 1 (15/11/2006)PermalinkCartographie géologique télé-analytique, influence de la résolution spatiale : application à la région de Kawkaban-Sana'a-Ma'rib (Republique du Yemen) / J.P. Deroin in Photo interprétation, vol 42 n° 3 (Septembre 2006)PermalinkAssessment of Quickbird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation / Nicholas C. Coops in Remote sensing of environment, vol 103 n° 1 (15 July 2006)PermalinkUtilisation des images satellites à haute résolution pour la surveillance d'une zone côtière / Valerio Baiocchi in Géomatique expert, n° 51 (01/06/2006)PermalinkComparison of 3D physical and empirical models for generating DSMs from stereo HR images / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)Permalink