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Utilisation d'images satellites à haute résolution pour la gestion du territoire de la ville de Luanda (Angola) / Valerio Baiocchi in Géomatique expert, n° 67 (01/02/2009)
[article]
Titre : Utilisation d'images satellites à haute résolution pour la gestion du territoire de la ville de Luanda (Angola) Titre original : Impiego di immagini satellitari ad altà risoluzione quale supporto alla gestione del territorio par la città di Luanda (Angola) Type de document : Article/Communication Auteurs : Valerio Baiocchi, Auteur ; Keti Lelo, Auteur ; J.J. Sucure, Auteur Année de publication : 2009 Article en page(s) : pp 40 - 43 Note générale : Bibliographie
[IFN] Article paru dans les actes de la douzièmes conférence nationale Asita, tenue à l'Aquila du 21 au 24 octobre 2008.Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Angola
[Termes IGN] géoréférencement
[Termes IGN] grande échelle
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] mise à jour cartographique
[Termes IGN] orthorectification
[Termes IGN] système de référence géodésique
[Termes IGN] urbanismeRésumé : (Auteur) Comment faire pour constituer une nouvelle cartographie quand on ne peut pas, pour des raisons divers, se rendre sur le terrain ? Copyright CiMax Numéro de notice : A2009-063 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29693
in Géomatique expert > n° 67 (01/02/2009) . - pp 40 - 43[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-09021 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P000319 RAB Revue Nogent-sur-Vernisson En réserve L003 Exclu du prêt Automatde co-registration of images from multiple bands of LISS-4 camera / P. Radhadevi in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
[article]
Titre : Automatde co-registration of images from multiple bands of LISS-4 camera Type de document : Article/Communication Auteurs : P. Radhadevi, Auteur ; S. Solanki, Auteur ; V. Nagasubramanian, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 17 - 26 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] acquisition d'images
[Termes IGN] angle de visée
[Termes IGN] colinéarité
[Termes IGN] géoréférencement direct
[Termes IGN] image IRS-LISS
[Termes IGN] image multibande
[Termes IGN] modèle numérique de terrain
[Termes IGN] superposition d'images
[Termes IGN] trajectographie (positionnement)Résumé : (Auteur) Three multi-spectral bands of the Liss-4 camera of IRS-P6 satellite are physically separated in the focal plane in the along-track direction. The time separation of 2.1 s between the acquisition of first and last bands causes scan lines acquired by different bands to lie along different lines on the ground which are not parallel. Therefore, the raw images of multi-spectral bands need to be registered prior to any simple application like data visualization. This paper describes a method for co-registration of multiple bands of Liss-4 camera through photogrammetric means using the collinearity equations. A trajectory fit using the given ephemeris and attitude data, followed by direct georeferencing is being employed in this model. It is also augmented with a public domain DEM for the terrain dependent input to the model. Finer offsets after the application of this parametric technique are addressed by matching a small subsection of the bands (100*100 pixels) using an image-based method. Resampling is done by going back to original raw data when creating the product after refining image coordinates with the offsets. Two types of aligned products are defined in this paper and their operational flow is described. Datasets covering different types of terrain and also viewed with different geometries are studied with extensive number of points. The band-to-band registration (BBR) accuracies are reported. The algorithm described in this paper for co-registration of Liss-4 bands is an integral part of the software package Value Added Products generation System (VAPS) for operational generation of IRS-P6 data products. Copyright ISPRS Numéro de notice : A2009-027 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.06.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29657
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 17 - 26[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09011 SL Revue Centre de documentation Revues en salle Disponible Automatic estimation of fine terrain models from multiple high-resolution satellite images / Nicolas Champion (2009)
Titre : Automatic estimation of fine terrain models from multiple high-resolution satellite images Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Didier Boldo , Auteur ; Georges Stamon, Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2009 Conférence : ICIP 2009, 16th IEEE International Conference on Image Processing 07/11/2009 10/11/2009 Le Caire Egypte Proceedings IEEE Importance : pp 577 - 580 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] estimateur
[Termes IGN] image à résolution submétrique
[Termes IGN] image en couleur
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] précision des données
[Termes IGN] réalité de terrain
[Termes IGN] simulation Pleiades
[Termes IGN] Toulouse
[Termes IGN] valeur aberranteRésumé : (Auteur) In this paper, we present an automatic method for deriving Digital Terrain Models (DTM) from Digital Surface Models (DSM). The DTM generation is formalized here as the minimization of a given energy, defined by a data term and a regularization term. The main contribution of this paper lies in the specific module, introduced in the data term in order to filter outliers (non ground points present in the original DSM) so that the final terrain surface best fits true ground points (inliers). The method is here introduced and tested on a vegetated and hilly area. A comparison to ground truth is also performed and shows the geometric accuracy and the robustness of the approach. Numéro de notice : C2009-046 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2009.5413875 Date de publication en ligne : 17/02/2010 En ligne : https://doi.org/10.1109/ICIP.2009.5413875 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64295 Documents numériques
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Automatic estimation of fine terrain models ... - pdf auteurAdobe Acrobat PDF
Titre : Classification of roof materials for rainwater pollution modelization Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Pauline Robert-Sainte, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Conférence : ISPRS 2009, High-Resolution Earth Imaging for Geospatial Information workshop 02/06/2009 05/06/2009 Hanovre Allemagne OA ISPRS Archives Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] BD Topo
[Termes IGN] classification dirigée
[Termes IGN] eau pluviale
[Termes IGN] image RVB
[Termes IGN] matériau
[Termes IGN] milieu urbain
[Termes IGN] ombre
[Termes IGN] orthoimage couleur
[Termes IGN] pollution des eaux
[Termes IGN] segmentation d'image
[Termes IGN] toitRésumé : (Auteur) It has been proven that roof runoff water plays an important role in the high metallic concentration levels in urban rainwater since metallic elements are generated by corrosion of roof materials before being swept away by rainwater. The aim of TOITEAU project is therefore to model this phenomenon, evaluating the metallic flows from roofs in rainwater. To achieve this goal, an important work has already been done to model those flows at roof scale. But, it has now to be extrapolated to a whole drainage area, requiring knowledge about the areas concerned by the different kinds of roof coverage, that is to say that a map of roof materials is needed. Such information can be extracted from aerial (ortho) images owing to (supervised) classification techniques. In the present situation, only six classes corresponding to the following kinds of roofs were defined : zinc plates, slates, red tiles, brown tiles and flat roofs. Nevertheless, classification results are limited because of several factors that have therefore to be dealt with. First of all, some distinct classes have very similar radiometric distribution (such as for instance zinc and at light slates), making it hard to distinguish between them. That's why derived channels computed from initial red-green-blue channels of the ortho-image have been used to improve the classification results. Texture channels have also been tested especially to discriminate zinc from other light coloured roof materials. For the same reason and in order not to obtain a too ”noisy” result, per region classification algorithms have been used : homogeneous regions will be classified instead of pixels. Secondly, roofs are the only interesting parts of the ortho-image in this study. As a consequence, a building mask is first computed from digital topographic database BDTopo in order to classify only roofs. However, several elements concerning data precision have to be taken into account at this step. For instance, the ortho-image and the topographic database can obviously not have been captured at the same date and, as a consequence, buildings can have been destroyed, modified or built between these two distinct capture times. In addition, as the used ortho-image is not a ”true ortho-image”, building objects from digital topographic database and ortho-image roofs are not perfectly superposed. However, these topographic database building objects can be registered to the ortho-image. Nevertheless, it must be said that these database objects often remain caricatures of true buildings. Besides, most of the time, homogeneous regions to be classified do not directly correspond to database buildings since those database objects can be groups of buildings or buildings of which the roof is composed of different materials. Therefore, it is necessary to segment building areas (according to the topographic database) of the ortho-image into homogeneous regions that are then classified. Lastly, shadows can be quite important in roof areas because of the presence of roof superstructures or higher buildings in the neighbourhood. That's why an additional class ”shadow” is also defined in order to take into account shadow areas where radiometric information is not sufficient to discriminate between the different kinds of materials. Tests have been carried out on two distinct study areas with 50cm resolution orthophotos for the first one and 12cm resolution orthoimages for the second one. The first study area was a dense urban centre, whereas the second could be divided into several parts : a residential suburb consisting of houses, a dense urban centre with buildings having up to 4-5 levels and a mixed residential / service area consisting of higher buildings. Numéro de notice : C2009-038 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/1_4_7-W5/paper/LE_BRIS-152.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64298 Documents numériques
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Classification of roof materials ... - pdf éditeurAdobe Acrobat PDF Digital photogrammetry / W. Linder (2009)
Titre : Digital photogrammetry : a practical course Type de document : Guide/Manuel Auteurs : W. Linder, Auteur Mention d'édition : 3 Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2009 Importance : 220 p. Format : 16 x 24 cm + 1 paire de lunettes + 1 cederom ISBN/ISSN/EAN : 978-3-540-92724-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] aérotriangulation
[Termes IGN] compensation par bloc
[Termes IGN] limite de résolution géométrique
[Termes IGN] limite de résolution radiométrique
[Termes IGN] modèle numérique de terrain
[Termes IGN] mosaïque d'images
[Termes IGN] orientation interne
[Termes IGN] orthoimage
[Termes IGN] photogrammétrie métrologiqueIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Editeur) The third edition is an "all-in-one" combination of basic theory and practical exercises. Potential readers/users are students of Photogrammetry, Geodesy, Geography and other sciences, but also all who are interested in this topic. No prior knowledge is necessary, except the handling of standard PCs. Theory is presented true to the motto "as little as possible, but as much as necessary". The main part of the book contains several tutorials. In increasing complexity, accompanied by texts explaining further theory, the reader can proceed step by step through the particular working parts. All intermediate as well as the final results are discussed with reference to accuracy and error handling. Most of the standard work in Digital Photogrammetry is shown and trained for example scanning, image orientation, mono and stereo plotting, aerial triangulation measurement (manual and automatic), block adjustment, automatic creation of surface models via image matching, creation of ortho images and mosaics, and others. Not only standard situations are dealt with but also more complex ones, such as unknown camera data, extreme relief or areas with very low contrast. Examples of both aerial and close-range photogrammetry present the power of these type of measurement techniques. The software is not limited to the example data included but may be used for personal projects. Part of the book comprises a complete description of the software. Note de contenu : 1 Introduction
1.1 Basic idea and main task of photogrammetry
1.2 Why photogrammetry ?
1.3 Image sources: Analogue and digital cameras
1.4 Digital consumer cameras
1.5 Short history of photogrammetric evaluation methods
1.6 Geometric principles 1: Camera position, focal length
1.7 Geometric principles 2: Image orientation
1.8 Geometric principles 3: Relative camera positions (stereo)
1.9 Some definitions
1.10 Length and angle units
1.11 A typical workflow in photogrammetry
2 Included software and data
2.1 Hardware requirements, operating system
2.2 Image material
2.3 Overview of the software
2.4 Installation
2.5 Additional programmes, copyright, data
2.6 General remarks
2.7 Software versions, support
3 Scanning of photos
3.1 Scanner types
3.2 Geometric resolution
3.3 Radiometric resolution
3.4 Some practical advice
3.5 Import of the scanned images
4 Example 1: A single model
4.1 Project definition
4.2 Orientation of the images
4.3 Model definition
4.4 Stereoscopic viewing
4.5 Measurement of object co-ordinates
4.6 Creation of DTMs via image matching
4.7 Ortho images
5 Example 2: Aerial triangulation
5.1 Aerial triangulation measurement (ATM)
5.2 Block adjustment with BLUH
5.3 Mosaics of DTMs and ortho images
6 Example 3: Some special cases
6.1 Scanning aerial photos with an A4 scanner
6.2 Interior orientation without camera parameters
6.3 Images from a digital camera
6.4 An example of close-range photogrammetry
6.5 Some remarks about lens distortion
6.6 Stereo images from satellites
6.7 Stereo images from flatbed scanners
6.8 A view into the future: Photogrammetry in 2020
7 Programme description
7.1 Some definitions
7.2 Basic functions
7.3 Aims and limits of the programme
7.4 Operating the programme
7.5 Buttons in the graphics windows
7.6 File handling
7.7 Pre programmes
7.8 Aerial triangulation measurement (ATM)
7.9 Processing
7.10 Display
7.11 Aerial triangulation with BLUHNuméro de notice : 20593 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=46832 Réservation
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Lier (2008)PermalinkIntroduction au traitement d'images / D. Lingrand (2008)PermalinkLe projet CAMV2 : du prototype au vol test / Jean-Philippe Souchon (2008)PermalinkRobust and automatic vanishing points detection with their uncertainties from a single uncalibrated image, by planes extraction on the unit sphere / Mahzad Kalantari (2008)PermalinkA test of 2D building change detection methods : comparison, evaluation and perspectives / Nicolas Champion (2008)PermalinkUnsupervised Image Segmentation based on Texems for Hyperspectral data / Adolfo Martinez-Uso (2008)PermalinkDetermination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data / U. Heiden in Remote sensing of environment, vol 111 n° 4 (28/12/2007)PermalinkApplications de l'imagerie hyperspectrale à l'étude des planètes du système solaire : le cas de Mars et de Titan / S. 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Unsalan in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkN-FindR method versus independent component analysis for lithological identification in hyperspectral imagery / C. Gomez in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)PermalinkRational function model for sensor orientation of IRS-P6 LISS-4 imagery / V. Nagasubramanian in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)PermalinkA sub-pixel location method for interest points by means of the Harris interest strength / Q. Zhu in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)PermalinkA time-efficient method for anomaly detection in hyperspectral images / O. Duran in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkComprehensive analysis of sensor modelling alternatives for high-resolution imaging satellites / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkFusing Ikonos images by a four-band wavelet transformation method / Wei Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkClassification of floodplain vegetation by data fusion of spectral (CASI) and LiDAR data / G.W. Geerling in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkIntegration of heterogeneous geospatial data in a federated database / Matthias Butenuth in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)PermalinkMultispectral image classification: a supervised neural computation approach based on rough-fuzzy membership function and weak fuzzy similarity relation / A. Agrawal in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkOptimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition / Jing Tian in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkCharacterizing patterns of plant distribution in a southern California salt marsh using remotely sensed topographic and hyperspectral data and local tidal fluctuations / S. Sadro in Remote sensing of environment, vol 110 n° 2 (28/09/2007)PermalinkEarly fire detection using non-linear multi-temporal prediction of thermal imagery / A. Koltunov in Remote sensing of environment, vol 110 n° 1 (14/09/2007)PermalinkDerniers développements en télédétection hyperspectrale / V. Carrere in Photo interprétation, vol 43 n° 3 (Septembre 2007)PermalinkDetection and substitution of clouds/hazes and their cast shadows on Ikonos images / Dong Lu in International Journal of Remote Sensing IJRS, vol 28 n°17-18 (September 2007)PermalinkGeoeye's next-generation color satellite imagery / K. Corbley in Geoinformatics, vol 10 n° 6 (01/09/2007)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)PermalinkMultispectral images fusion by a joint multidirectional and multiresolution representation / M. Lillo-Saaverda in International Journal of Remote Sensing IJRS, vol 28 n°17-18 (September 2007)PermalinkThe effectiveness of richness, diversity and dominance textural indices when applied on digital ground photographs using a GIS for landscape visual analysis purposes / A. Tsouchlaraki in Geocarto international, vol 22 n° 3 (September - November 2007)PermalinkWavelet based image fusion techniques: an introduction, review and comparison / Krista Amolins in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)PermalinkGeneration of mosaiced digital true orthophotographs from multispectral and Lidar data / N. Balic in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)PermalinkIntegrating fine scale information in super-resolution land-cover mapping / A. Boucher in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)PermalinkMultitemporel fuzzy classification model based on class transition possibilities / G.L.A. Mota in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 3 (August 2007)PermalinkOptimizing image resolution to maximize the accuracy of hard classification / K.R. Mccloy in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)PermalinkRule-based classification of multi-temporal satellite imagery for habitat and agricultural land cover mapping / Robert Lucas in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 3 (August 2007)PermalinkSentinel-2, the optical high-resolution mission for GMES operational services / P. Martimort in ESA bulletin, n° 131 (August 2007)PermalinkComparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America / J. Pisek in Remote sensing of environment, vol 109 n° 1 (12 July 2007)PermalinkSpatial resolution and algorithm choice as modifiers of downslope flow computed from digital elevation models / K. Clarke in Cartography and Geographic Information Science, vol 34 n° 3 (July 2007)PermalinkApports de la télédétection à l'étude de la déformation des chainons de Metlaoui (Tunisie Centro-méridionale) / Maged Jabbour in Photo interprétation, vol 43 n° 2 (Juin 2007)PermalinkAutomatic and precise orthorectification, coregistration, and subpixel correlation of satellite images: application to ground deformation measurements / S. Leprince in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)PermalinkBuilding detection by fusion of airborne laser scanner data and multi-spectral images: performance evaluation and sensitivity analysis / Franz Rottensteiner in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)PermalinkA concept for feature based data registration by simultaneous consideration of laser scanner data and photogrammetric images / A. Wendt in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)PermalinkFeature extraction of hyperspectral images using wavelet and matching pursuit / Pai-Hui Hsu in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)PermalinkMonitoring cross-border trails using airborne digital multispectral imagery and interactive image analysis techniques / L. Cao in Geocarto international, vol 22 n° 2 (June - August 2007)PermalinkA novel approach for disaster monitoring: fractal models and tools / G. Di Martino in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)Permalink