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Fully automatic generation of geoinformation products with chinese zy-3 satellite imagery / Yongjun Zhang in Photogrammetric record, vol 29 n° 148 (December 2014 - February 2015)
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Titre : Fully automatic generation of geoinformation products with chinese zy-3 satellite imagery Type de document : Article/Communication Auteurs : Yongjun Zhang, Auteur ; Bo Wang, Auteur ; Zuxung Zhang, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 383–401 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] image ZiYuan-3
[Termes IGN] modèle numérique de surface
[Termes IGN] orthophotocarte
[Termes IGN] traitement automatique d'imagesRésumé : (Auteur) The advantages of continuously and soundly obtaining large multidimensional, multiscale and multitemporal observation datasets from satellite remote sensing make it indispensable in building a national spatial data infrastructure. This paper introduces the ZY-3 satellite developed in China and discusses a fully automatic data-processing system to generate geoinformation products, such as digital elevation models (DEMs) and digital orthophotomaps (DOMs), based on ZY-3 imagery. The key technologies of automatic geoinformation product generation, including strip image-based bundle adjustment together with creating DEMs and DOMs, are illustrated. The accuracies of the georeferencing and automatically generated geoinformation products are also discussed. This automatic data-processing system is shown to provide a good foundation for near real-time derivation of such geoinformation products and for the promotion and application of Chinese domestic satellites. Numéro de notice : A2014-646 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12078 Date de publication en ligne : 16/12/2014 En ligne : https://doi.org/10.1111/phor.12078 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75092
in Photogrammetric record > vol 29 n° 148 (December 2014 - February 2015) . - pp 383–401[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2014041 RAB Revue Centre de documentation En réserve L003 Disponible High resolution imagery collection for post-disaster studies utilizing unmanned aircraft systems (UAS) / Stuart M. Adams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)
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Titre : High resolution imagery collection for post-disaster studies utilizing unmanned aircraft systems (UAS) Type de document : Article/Communication Auteurs : Stuart M. Adams, Auteur ; Marc L. Levitan, Auteur ; Carol J. Friedland, Auteur Année de publication : 2014 Article en page(s) : pp 1161 - 1168 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Alabama (Etats-Unis)
[Termes IGN] catastrophe naturelle
[Termes IGN] drone
[Termes IGN] image à haute résolution
[Termes IGN] photographie aérienne
[Termes IGN] prise de vue aérienne
[Termes IGN] tempêteRésumé : (auteur) This paper examines the use of unmanned aircraft systems (UAS) to capture imagery for use in post-disaster field studies at the neighborhood and individual building level. A discussion of post-disaster imagery collection including satellite, aerial, and ground-based platforms is first presented. Applications of UAS in recent disasters as described in the literature are then surveyed, and a case study investigating UAS capabilities for imagery collection following an EF-3 tornado in northern Alabama on 02 March 2012 is presented. Case study considerations include the multi-rotor unmanned aerial vehicle (UAVj equipment and ground station, onboard imagery devices, flight considerations and capabilities, and imagery aid metadata collection capabilities of the UAS. Sample post-tornado imagery of building damage is shown, demonstrating the order of magnitude improvement in imagery resolution compared to traditional post-disaster aerial photography. Numéro de notice : A2014-671 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.12.1161 En ligne : https://doi.org/10.14358/PERS.80.12.1161 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75130
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 12 (December 2014) . - pp 1161 - 1168[article]Motion blur disturbs – the influence of motion-blurred images in photogrammetry / T. Sieberth in Photogrammetric record, vol 29 n° 148 (December 2014 - February 2015)
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Titre : Motion blur disturbs – the influence of motion-blurred images in photogrammetry Type de document : Article/Communication Auteurs : T. Sieberth, Auteur ; R. Wackrow, Auteur ; Jim H. Chandler, Auteur Année de publication : 2014 Article en page(s) : pp 434 – 453 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] flou
[Termes IGN] image à haute résolution
[Termes IGN] tâche claire
[Termes IGN] traitement d'imageRésumé : (Auteur) Unmanned aerial vehicles (UAVs) have become an interesting and active research topic for photogrammetry. Current research is based on images acquired by UAVs which have a high ground resolution and good spectral resolution due to low flight altitudes combined with a high-resolution camera. One of the main problems preventing full automation of data processing of UAV imagery is the unknown degradation effect of blur caused by camera movement during image acquisition. The purpose of this paper is to analyse the influence of blur on photogrammetric image processing. Images with precisely known motion blur were produced to determine the effect. It was found that even small blurs affect normal photogrammetric processes significantly. Although operator intervention might be time consuming, it can ensure that the results are still of acceptable accuracy. Numéro de notice : A2014-649 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12082 Date de publication en ligne : 16/12/2014 En ligne : https://doi.org/10.1111/phor.12082 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75095
in Photogrammetric record > vol 29 n° 148 (December 2014 - February 2015) . - pp 434 – 453[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data / Jukka Miettinen in Global ecology and conservation, vol 2 (December 2014)
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Titre : Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data Type de document : Article/Communication Auteurs : Jukka Miettinen, Auteur ; Hans-Jürgen Stibig, Auteur ; Frédéric Achard, Auteur Année de publication : 2014 Article en page(s) : pp 24 - 36 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Asie du sud-est
[Termes IGN] forêt tropicale
[Termes IGN] image à haute résolution
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Sentinel-MSI
[Termes IGN] surveillance forestièreRésumé : (auteur) In this review paper, we present geographical, ecological and historical aspects of Southeast Asia from the perspective of forest degradation monitoring and critically discuss available approaches for large area forest degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5–30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of forest degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of forest types and forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that forest degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on forest degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional forest degradation monitoring in Southeast Asia. Numéro de notice : A2014-762 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.gecco.2014.07.007 En ligne : http://www.sciencedirect.com/science/article/pii/S2351989414000134 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76413
in Global ecology and conservation > vol 2 (December 2014) . - pp 24 - 36[article]Retrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle: AggieAir™ / Bushra Zaman in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)
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Titre : Retrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle: AggieAir™ Type de document : Article/Communication Auteurs : Bushra Zaman, Auteur ; Austin Jensen, Auteur ; Shannon R. Clemens, Auteur ; Mac McKee, Auteur Année de publication : 2014 Article en page(s) : pp 1139 - 1150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] bande infrarouge
[Termes IGN] drone
[Termes IGN] éclairement énergétique
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] image à haute résolution
[Termes IGN] image multibande
[Termes IGN] orthophotoplan numérique
[Termes IGN] prise de vue aérienne
[Termes IGN] radiance
[Termes IGN] réflectance spectrale
[Termes IGN] Utah (Etas-Unis)Résumé : (auteur) This research presents a new semi-automatic model for converting raw AggieAir™ footprints in visible and near-infrared (Nin) bands into reflectance images. AggieAir, a new unmanned aerial vehicle (UAV) platform, is flown autonomously using pre-programmed flight plans at low altitudes to limit atmospheric effects. The UAV acquires high-resolution, multispectral images and has a flight duration of about 30 minutes. The sensors on board are twin cameras with duplicate settings and automatic mode disabled. A white Barium Sulfate (BaSO4j panel is used for reflectance calibration and in situ irradiance measurements. The spatial resolution of the imagery is 25 cm; the radiometric resolution is 8-bit. The raw images are mosaicked and orthorectified and the model converts their digital numbers (DN) to reflectance values. Imagery, acquired around local solar noon over wetlands on the Great Salt Lake. Utah, is used to illustrate the results. The model generates high quality images and the results are good. The reflectance values of vegetation in the NIR, Green and Red hands extracted at the test locations are consistent. The image processing, reflectance calculations, accuracy issues, with the proposed method are discussed. Numéro de notice : A2014 670 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.12.1139 En ligne : https://doi.org/10.14358/PERS.80.12.1139 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75129
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 12 (December 2014) . - pp 1139 - 1150[article]Semisupervised manifold alignment of multimodal remote sensing images / Devis Tuia in IEEE Transactions on geoscience and remote sensing, vol 52 n° 12 (December 2014)
PermalinkA discriminative metric learning based anomaly detection method / Bo Du in IEEE Transactions on geoscience and remote sensing, vol 52 n° 11 tome 1 (November 2014)
PermalinkEstimating fractional land cover in semi-arid central Kalahari: the impact of mapping method (spectral unmixing vs. object-based image analysis) and vegetation morphology / Niti B. Mishra in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
PermalinkModelling electrical conductivity of soil from backscattering coefficient of microwave remotely sensed data using artificial neural network / Walaiporn Phonphan in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
PermalinkMorphometric analysis of Upper Tons basin from Northern Foreland of Peninsular India using CARTOSAT satellite and GIS / Sandeep Kumar Yadav in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
PermalinkPer-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery / Mustafa Neamah Jebur in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
PermalinkTracking seasonal changes of leaf and canopy light use efficiency in a Phlomis fruticosa Mediterranean ecosystem using field measurements and multi-angular satellite hyperspectral imagery / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)
PermalinkUse of high-resolution satellite data, GIS and NRCS-CN technique for the estimation of rainfall-induced run-off in small catchment of Jharkhand India / Anamika Shalini Tirkey in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
PermalinkAnalyse multi-temporelle des marges fluviales fréquemment inondées à partir d’images satellites Pléiades / Vincent Wawrzyniak in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
PermalinkApport de l'imagerie satellitaire à haute et très haute résolution pour la recherche d'indices de drainage superficiel : Application aux aires d'alimentation de captage (AAC) d'eau potable / Sébastien Rucquoi in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
PermalinkApport de l'imagerie très haute résolution spatiale pour la caractérisation de la densité urbaine / Laurent Bouffier in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
PermalinkAutomated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery / Benoit Beguet in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)
PermalinkFusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using dempster–shafer theory / Vahideh Saeidi in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
PermalinkIntegration of Lidar and Landsat to estimate forest canopy cover in coastal British Columbia / Oumer S. Ahmed in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 10 (October 2014)
PermalinkMathematical morphology pre-processing for enhanced segmentation of heterogeneous spatial regions / Julien Radoux in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
PermalinkMise à jour d’une base de données d’occupation du sol à partir d’une image satellite très haute résolution : application aux données Pléiades / Adrien Gressin in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
PermalinkL’ORFEO Toolbox : bilan des années ORFEO et perspectives / Julien Michel in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
PermalinkL’orthomosaïque à échelle départementale : les performances de l’imagerie Pléiades comparées au produit BD ORTHO® / Jean-François Hangouët in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
Permalinkn° 208 - Octobre 2014 - Pléiades days 2014 (1ère partie) (Bulletin de Revue Française de Photogrammétrie et de Télédétection)
PermalinkQuantification et cartographie de la structure forestière à partir de la texture des images Pléiades / Benoit Beguet in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
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