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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)
[article]
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 Recalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment / Abdelhamid Bennis (2011)
Titre : Recalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment Type de document : Article/Communication Auteurs : Abdelhamid Bennis, Auteur ; Vincent Bombardier, Auteur ; Philippe Thiriet, Auteur ; David Brie, Auteur Editeur : Nancy : Centre de Recherche en Automatique de Nancy Année de publication : 2011 Conférence : GRETSI 2011, 23th Symposium on Signal and Image Processing 05/09/2011 08/09/2011 Bordeaux France OA Proceedings Importance : 4 p. Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme glouton
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] façade
[Termes IGN] filtre de Canny
[Termes IGN] image binaire
[Termes IGN] niveau de gris (image)
[Termes IGN] point de vérification
[Termes IGN] recalage de données localisées
[Termes IGN] segmentation binaire
[Termes IGN] semis de pointsRésumé : (auteur) Dans ce travail, une approche de recalage de données télémétriques avec des images photographiques de bâtiments est présentée. Il s’agit, d’une part, d’un problème de segmentation d’un nuage de points 3D de bâtiment et d’extraction des contours du nuage de points. Pour le recalage, nous adoptons une approche contour et proposons un algorithme qui permet de s’affranchir d’une sélection approximative des points de contrôle. L’approche est appliquée à des données réelles. Numéro de notice : C2011-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://hal.archives-ouvertes.fr/hal-00605130 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84312 Reflectance estimation from urban terrestrial images: validation of a symbolic ray-tracing method on synthetic data / Fabien Coubard (2011)
contenu dans Photogrammetric image analysis PIA 11, Munich, Germany, October 5-7, 2011 / Uwe Stilla (2011)
Titre : Reflectance estimation from urban terrestrial images: validation of a symbolic ray-tracing method on synthetic data Type de document : Article/Communication Auteurs : Fabien Coubard , Auteur ; Mathieu Brédif , Auteur ; Nicolas Paparoditis , Auteur ; Xavier Briottet , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2011 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W22 Conférence : PIA 2011, ISPRS Conference on Photogrammetric Image Analysis 05/10/2011 07/10/2011 Munich Allemagne OA ISPRS Archives Importance : pp 71 - 76 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction radiométrique
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] éclairement lumineux
[Termes IGN] image numérique
[Termes IGN] image terrestre
[Termes IGN] itération
[Termes IGN] lancer de rayons
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] problème inverse
[Termes IGN] réflectance spectrale
[Termes IGN] scène urbaineRésumé : (auteur) Terrestrial geolocalized images are nowadays widely used on the Internet, mainly in urban areas, through immersion services such as Google Street View. On the long run, we seek to enhance the visualization of these images. For that purpose, radiometric corrections must be performed to free them from illumination conditions at the time of acquisition. Given the simultaneously acquired 3D geometric model of the scene with LIDAR or vision techniques, we face an inverse problem where the illumination and the geometry of the scene are known and the reflectance of the scene is to be estimated. Our main contribution is the introduction of a symbolic ray-tracing rendering to generate parametric images, for quick evaluation and comparison with the acquired images. The proposed approach is then based on an iterative estimation of the reflectance parameters of the materials, using a single rendering pre-processing. We validate the method on synthetic data with linear BRDF models and discuss the limitations of the proposed approach with more general non-linear BRDF models. Numéro de notice : C2011-037 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXVIII-3-W22-71-2011 Date de publication en ligne : 26/04/2013 En ligne : https://doi.org/10.5194/isprsarchives-XXXVIII-3-W22-71-2011 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92341 Documents numériques
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Reflectance estimation... - pdf éditeurAdobe Acrobat PDF 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)
[article]
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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