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Land 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)
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Titre : Land cover classification of cloud-contaminated multitemporal high-resolution images Type de document : Article/Communication Auteurs : A. Salberg, Auteur Année de publication : 2011 Article en page(s) : pp 377 - 387 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classificateur non paramétrique
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] image multitemporelle
[Termes IGN] image optique
[Termes IGN] Norvège
[Termes IGN] occupation du solRésumé : (Auteur) We show how methods proposed in the statistical community dealing with missing data may be applied for land cover classification, where optical observations are missing due to clouds and snow. The proposed method is divided into two stages: 1) cloud/snow classification and 2) training and land cover classification. The purpose of the cloud/snow classification stage is to determine which pixels are missing due to clouds and snow. All pixels in each optical image are classified into the classes cloud, snow, water, and vegetation using a suitable classifier. The pixels classified as cloud or snow are labeled as missing, and this information is used in the subsequent training and classification stage, which deals with classification of the pixels into various land cover classes. For land cover classification, we apply the maximum-likelihood (assuming normal distributions), -nearest neighbor, and Parzen classifiers, all modified to handle missing features. The classifiers are evaluated on Landsat (both Thematic Mapper and Enhanced Thematic Mapper Plus) images covering a scene at about 900 m a.s.l. in the Hardangervidda mountain plateau in Southern Norway, where 4869 in situ samples of the land cover classes water, ridge, leeside, snowbed, mire, forest, and rock are obtained. The results show that proper modeling of the missing pixels improves the classification rate by 5%-10%, and by using multiple images, we increase the chance of observing the land cover type substantially. The nonparametric classifiers handle nonignorable missing-data mechanisms and are therefore particularly suitable for remote sensing applications where the pixels covered by snow and cloud may depend on the land cover type. Numéro de notice : A2011-052 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2052464 Date de publication en ligne : 26/07/2010 En ligne : https://doi.org/10.1109/TGRS.2010.2052464 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30833
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 1 Tome 2 (January 2011) . - pp 377 - 387[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011011B RAB Revue Centre de documentation En réserve L003 Disponible On 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)
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Titre : On the capability of very high resolution satellite and ground probing radar techniques for detecting buried archaeological adobe structures Type de document : Article/Communication Auteurs : Rosa Lasaponara, Auteur ; Nicola Masini, Auteur ; Enzo Rizzo, Auteur ; Giuseppe Orefici, Auteur Année de publication : 2011 Article en page(s) : pp 61 - 70 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] amérindien
[Termes IGN] archéométrie
[Termes IGN] fossile
[Termes IGN] image à très haute résolution
[Termes IGN] image optique
[Termes IGN] Pérou
[Termes IGN] radar pénétrant GPR
[Termes IGN] radargrammétrie
[Termes IGN] site archéologique
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) Adobe (sun-dried earth material) is a common prehistoric building material that had been widely used for several thousand years mainly in arid and semi-arid lands where generally other building materials are quite scarce. In particular, the earthen construction materials have a long history in Southern America and in the Andean prehistory of the Peruvian coast, where the hyper-arid climate has promoted an excellent preservation of archaeological adobe remains. The detection of buried earthen structures is particularly complex to perform due to the subtle contrast between the archaeological features and the surrounding areas. The use of Earth Observation (EO) to detect and document buried archaeological adobe structures can open new perspective but up to now it presents one of the major challenges to archaeological investigation. In this paper we present our preliminary results obtained from the assessment of the potentiality of satellite Very High Resolution (VHR) optical imagery and Ground Penetrating Radar (GPR) in detecting adobe archaeological setting. Satellite VHR imagery and GPR have been used for three significant test sites selected inside the Cahuachi Ceremonial Centre of the Nasca culture (Southern Peru) one of the most important archaeological area of ancient Peru. It is a remarkable example of adobe architecture in Southern America. The spatial extension of the archaeological site has been estimated as large as 25 square km, and this makes the Ceremonial Centre of Cahuachi the biggest in the world and gives a clear idea of the importance of the Nasca civilization. Results obtained from our experimental analysis pointed out the high potentiality of both satellite VHR and GPR when applied to detect, investigate, and document earthen archaeological remain. Numéro de notice : A2011-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30795
in Revue Française de Photogrammétrie et de Télédétection > n° 193 (Janvier 2011) . - pp 61 - 70[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Orthorectification 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)
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Titre : Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data Type de document : Article/Communication Auteurs : Peter Reinartz, Auteur ; R. Muller, Auteur ; P. Schwind, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 124 - 132 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] appariement d'images
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image ALOS-PRISM
[Termes IGN] image Ikonos
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image TerraSAR-X
[Termes IGN] méthode robuste
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] orthorectification
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] zone urbaineRésumé : (Auteur) Orthorectification of satellite data is one of the most important pre-processing steps for application oriented evaluations and for image data input into Geographic Information Systems. Although high- and very high-resolution optical data can be rectified without ground control points (GCPs) using an underlying digital elevation model (DEM) to positional root mean square errors (RMSEs) between 3 m and several hundred meters (depending on the satellite), there is still need for ground control with higher precision to reach lower RMSE values for the orthoimages. The very high geometric accuracy of geocoded data of the TerraSAR-X satellite has been shown in several investigations. This is due to the fact that the SAR antenna measures distances which are mainly dependent on the terrain height and the position of the satellite. The latter can be measured with high precision, whereas the satellite attitude need not be known exactly. If the used DEM is of high accuracy, the resulting geocoded SAR data are very precise in their geolocation. This precision can be exploited to improve the orientation knowledge and thereby the geometric accuracy of the rectified optical satellite data. The challenge is to match two kinds of image data, which exhibit very different geometric and radiometric properties. Simple correlation techniques do not work and the goal is to develop a robust method which works even for urban areas, including radar shadows, layover and foreshortening effects. First the optical data have to be rectified with the available interior and exterior orientation data or using rational polynomial coefficients (RPCs). From this approximation, the technique used is the measurement of small identical areas in the optical and radar images by automatic image matching, using a newly developed adapted mutual information procedure followed by an estimation of correction terms for the exterior orientation or the RPC coefficients. The matching areas are selected randomly from a regular grid covering the whole imagery. By adjustment calculations, parameters from falsely matched areas can be eliminated and optimal improvement parameters are found. The original optical data are orthorectified again using the delivered metadata together with these corrections and the available DEM. As proof of method the orthorectified data from IKONOS and ALOS-PRISM sensors are compared with conventional ground control information from high-precision orthoimage maps of the German Cartographic Survey. The results show that this method is robust, even for urban areas. Although the resulting RMSE values are in the order of 2–6 m, the advantage is that this result can be reached even for optical sensors which do not exhibit low RMSE values without using manual GCP measurements. Numéro de notice : A2011-017 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30799
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 1 (January - February 2011) . - pp 124 - 132[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011011 SL Revue Centre de documentation Revues en salle Disponible Relevance of airborne lidar and multispectral image data for urban scene classification using random forests / Li Guo in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)
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Titre : Relevance of airborne lidar and multispectral image data for urban scene classification using random forests Type de document : Article/Communication Auteurs : Li Guo, Auteur ; Nesrine Chehata , Auteur ; Clément Mallet
, Auteur ; Samia Boukir, Auteur
Année de publication : 2011 Article en page(s) : pp 56 - 66 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse discriminante
[Termes IGN] classification dirigée
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] écho multiple
[Termes IGN] forme d'onde pleine
[Termes IGN] image multibande
[Termes IGN] semis de points
[Termes IGN] zone urbaine denseRésumé : (Auteur) Airborne lidar systems have become a source for the acquisition of elevation data. They provide georeferenced, irregularly distributed 3D point clouds of high altimetric accuracy. Moreover, these systems can provide for a single laser pulse, multiple returns or echoes, which correspond to different illuminated objects. In addition to multi-echo laser scanners, full-waveform systems are able to record 1D signals representing a train of echoes caused by reflections at different targets. These systems provide more information about the structure and the physical characteristics of the targets. Many approaches have been developed, for urban mapping, based on aerial lidar solely or combined with multispectral image data. However, they have not assessed the importance of input features. In this paper, we focus on a multi-source framework using aerial lidar (multi-echo and full waveform) and aerial multispectral image data. We aim to study the feature relevance for dense urban scenes. The Random Forests algorithm is chosen as a classifier: it runs efficiently on large datasets, and provides measures of feature importance for each class. The margin theory is used as a confidence measure of the classifier, and to confirm the relevance of input features for urban classification. The quantitative results confirm the importance of the joint use of optical multispectral and lidar data. Moreover, the relevance of full-waveform lidar features is demonstrated for building and vegetation area discrimination. Numéro de notice : A2011-016 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.08.007 Date de publication en ligne : 22/09/2010 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.08.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30798
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 1 (January - February 2011) . - pp 56 - 66[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011011 SL Revue Centre de documentation Revues en salle Disponible
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Titre : La carte forestière sans papier Type de document : Article/Communication Auteurs : Thierry Touzet , Auteur ; François Lecordix
, Auteur
Année de publication : 2010 Article en page(s) : pp 53 - 62 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] acquisition d'images
[Termes IGN] caméra numérique
[Termes IGN] carte de la végétation
[Termes IGN] carte numérique
[Termes IGN] couche thématique
[Termes IGN] forêt tempérée
[Termes IGN] image aérienne
[Termes IGN] image infrarouge couleur
[Termes IGN] Institut géographique national (France)
[Termes IGN] Inventaire Forestier National (organisme France)
[Termes IGN] mise à jour de base de données
[Termes IGN] précision des données
[Termes IGN] produit forestierRésumé : (Auteur) La production de la carte forestière est désormais complètement opérationnelle, en numérique et donc sans papier. 22 départements ont été produits et archivés en octobre 2010 (fig. 6). Le rythme nominal de production de 10 départements par an est désormais atteint. Les chaînes de production des deux établissements sont imbriquées et permettent des coûts optimisés après une collaboration exemplaire pour la mise en place du processus. La volonté des deux producteurs nationaux d'éviter la double saisie et la rationalisation des coûts de production sont désormais satisfaites. La production de données publiques est désormais plus cohérente et non redondante. Parallèlement à cette production qui va se poursuivre, il est nécessaire désormais de réfléchir à l'objectif de la mise à jour de ces données forestières. La précision actuelle permet d'envisager une mise à jour par différence, mais nécessite à nouveau une collaboration poussée entre les deux instituts pour relever ce nouveau défi. Numéro de notice : A2010-560 Affiliation des auteurs : IGN (1940-2011) Thématique : FORET/GEOMATIQUE/INFORMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30752
in Le monde des cartes > n° 206 (décembre 2010) . - pp 53 - 62[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 021-2010042 RAB Revue Centre de documentation En réserve L003 Disponible 021-2010041 RAB Revue Centre de documentation En réserve L003 Disponible The IGN CAMv2 system / Jean-Philippe Souchon in Photogrammetric record, vol 25 n° 132 (December 2010 - February 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)
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)
Permalinkvol 48 n° 11 - November 2010 - Special issue on hyperspectral image and signal processing (Bulletin de IEEE Transactions on geoscience and remote sensing) / Geoscience and remote sensing society
PermalinkStatus and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment / B. Koch in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 6 (November - December 2010)
PermalinkGeometric rectification of satellite imagery with ground control using space oblique mercator projection theory / L. Ren in Cartography and Geographic Information Science, vol 37 n° 4 (October 2010)
PermalinkInsight is in the details: 8-band multispectral imagery / I. Gilbert in Geoinformatics, vol 13 n° 7 (01/10/2010)
PermalinkUncertainty analysis for the classification of multispectral satellite images using SVMs and SOMs / F. Giacco in IEEE Transactions on geoscience and remote sensing, vol 48 n° 10 (October 2010)
PermalinkAutomatic detection of residential building using LIDAR data and multispectral imagery / M. Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)
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