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Assessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
[article]
Titre : Assessing geometric reliability of corrected images from very high resolution satellites Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur Année de publication : 2008 Article en page(s) : pp 1551 - 1560 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fiabilité des données
[Termes IGN] image à résolution métrique
[Termes IGN] image à résolution submétrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] qualité géométrique (image)
[Termes IGN] valeur aberranteRésumé : (Auteur) Since the launch of Ikonos by Space Imaging, LLC on 24 September 1999, the very high resolution (VHR) satellite imagery has been applied to diverse fields. Every application needs a certain geometric accuracy in the corrected image; therefore, the planimetric accuracy control of VHR satellite imagery proves to be fundamental. As a rule of thumb, the Root Mean Square error (RMS) computed at independent check points (ICPs) is the global measure most widely used for accuracy assessment in VHR imagery. This paper presents an assessment, focused on two QuickBird and Ikonos panchromatic single images, of the number of ICPs required to obtain an estimation of one-dimensional accuracy (RMS1d) with a certain confidence level or reliability. Thus, two theoretical approaches have been tested to estimate reliability depending on the number of ICPs, and they have been experimentally validated using the Monte Carlo simulation method. The residual’s samples were generated for both satellite images in the best possible operational conditions: (a) using optimal sensor models, (b) with high accuracy ground points measured by Differential Global Positioning System, (c) with an adequate number of well distributed ground control points (GCPs), and (d) using GCPs and ICPs well-defined on the raw images, i.e., with a reasonably low pointing error. Under these conditions, the two theoretical models tested provided a good fit (r2 >97 percent) for the simulated data offered by Monte Carlo when outliers were withdrawn. There were no notable differences between the results obtained from the Ikonos and QuickBird scenes. Copyright ASPRS Numéro de notice : A2008-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1551 En ligne : https://doi.org/10.14358/PERS.74.12.1551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29547
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1551 - 1560[article]Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model / H. Su in Marine geodesy, vol 31 n° 4 (December 2008)
[article]
Titre : Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model Type de document : Article/Communication Auteurs : H. Su, Auteur ; H. Liu, Auteur ; W.D. Heymann, Auteur Année de publication : 2008 Article en page(s) : pp 281 - 298 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] données bathymétriques
[Termes IGN] étalonnage de modèle
[Termes IGN] fond marin
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] modèle d'inversion
[Termes IGN] modèle non linéaire
[Termes IGN] optimisation (mathématiques)Résumé : (Auteur) Most previous studies utilized a log-linear regression model to invert multi-spectral images into bathymetric data. Based on the Levenberg-Marquardt optimization algorithm, we developed an automated method for calibrating the parameters for a non-linear inversion model. Our method has been successfully applied to an IKONOS multispectral image. We compared depth data derived from our model to those estimated using a conventional log-linear inversion model. Bathymetric data derived from the non-linear inversion model are slightly more accurate and stable, particularly for deeper benthic habitats, than those derived from a conventional log-linear model although their overall performances are very similar. Copyright Taylor & Francis Numéro de notice : A2008-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490410802466652 En ligne : https://doi.org/10.1080/01490410802466652 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29584
in Marine geodesy > vol 31 n° 4 (December 2008) . - pp 281 - 298[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-08041 RAB Revue Centre de documentation En réserve L003 Disponible Classification 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)
[article]
Titre : Classification of very high spatial resolution imagery based on the fusion of edge and multispectral information Type de document : Article/Communication Auteurs : X. Huang, Auteur ; L. Zhang, Auteur ; P. Li, Auteur Année de publication : 2008 Article en page(s) : pp 1585 - 1596 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes indépendantes
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] détection de contours
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image à résolution subdecamétrique
[Termes IGN] image à très haute résolution
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] matrice de co-occurrence
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] prise en compte du contexteRésumé : (Auteur) A new algorithm based on the fusion of edge and multispectral information is proposed for the pixel-wise classification of very high-resolution (VHR) remotely sensed imagery. It integrates the multispectral, spatial and structural information existing in the image. The edge feature is first extracted using an improved multispectral edge detection method, which takes into account the original multispectral bands, the linear NDVI, and the independent spectral components extracted by independent component analysis (ICA). Direction-lines are then defined using the edge and multispectral information. Two effective spatial measures are calculated based on the direction-lines in order to describe the contextual information and strengthen the multispectral feature space. Then, the support vector machine (SVM) is employed to classify the hybrid structural-multispectral feature set. In experiments, the proposed spatial measures were compared with the pixel shape index (PSI) and the gray level co-occurrence matrix (GLCM). The experimental results show that the proposed algorithm performs well in terms of classification accuracies and visual interpretation. Copyright ASPRS Numéro de notice : A2008-479 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1585 En ligne : https://doi.org/10.14358/PERS.74.12.1585 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29548
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1585 - 1596[article]A knowledge-based approach to urban feature classification using aerial imagery with Lidar data / M. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
[article]
Titre : A knowledge-based approach to urban feature classification using aerial imagery with Lidar data Type de document : Article/Communication Auteurs : M. Huang, Auteur ; S. Shyue, Auteur ; L.H. Lee, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1473 - 1485 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification à base de connaissances
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image aérienne
[Termes IGN] image multibande
[Termes IGN] image RVB
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] seuillage d'imageRésumé : (Auteur) While the spatial resolution of remotely sensed data has improved, multispectral imagery is still not sufficient for urban classification. Problems include the difficulty in discriminating between trees and grass, the misclassification of buildings due to diverse roof compositions and shadow effects, and the misclassification of cars on roads. Recently, lidar (light detection and ranging) data have been integrated with remotely sensed data to obtain better classification results. In this study, we first conducted maximum likelihood classification (MLC) experiments, a traditional pixel-based classification method, to identify features suitable for urban classification using lidar data and aerial imagery. The addition of lidar height data improved the overall accuracy by up to 28 and 18 percent, respectively, compared to cases with only red–green–blue (RGB) and multispectral imagery. To further improve classification, we propose a knowledge-based classification system (KBCS) that includes a three-level height, “asphalt road, vegetation, and non-vegetation” (A–V–N) classification rule-based scheme and knowledge-based correction (KBC). The proposed KBCS improved overall accuracy by 12 and 7 percent compared to maximum likelihood and object-based classification, respectively. Copyright ASPRS Numéro de notice : A2008-476 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1473 En ligne : https://doi.org/10.14358/PERS.74.12.1473 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29545
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1473 - 1485[article]Traffic extraction and characterisation from optical remote sensing data / Stefan Hinz in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
[article]
Titre : Traffic extraction and characterisation from optical remote sensing data Type de document : Article/Communication Auteurs : Stefan Hinz, Auteur ; D. Lenhart, Auteur ; Jens Leitloff, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 424 - 440 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données routières
[Termes IGN] données multisources
[Termes IGN] extraction de données
[Termes IGN] image aérienne
[Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] modèle sémantique de données
[Termes IGN] prise en compte du contexte
[Termes IGN] surveillance routière
[Termes IGN] trafic routierRésumé : (Auteur) This paper presents a generic scheme to extract traffic information from both optical satellite imagery and optical airborne image sequences. The extraction is based on an explicit semantic model of traffic, from which, depending on the characteristics of the input data, different strategies for vehicle detection, vehicle queue extraction and motion estimation are derived. The model comprises different scales to exploit the scale-dependent properties of traffic imaged by optical sensors. It is furthermore extended by context information to include knowledge about background objects as well as metadata from a road database in a consistent way. Various tests with different input data have been carried out and compared with manually acquired ground truth data of vehicles and vehicle tracks. The results show clearly the high potential of airborne and spaceborne traffic monitoring, but also indicate room for methodological improvements and exhibit some inherent sensor-related drawbacks. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-421 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00497.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00497.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29492
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 424 - 440[article]Verification of topographic road centerline data using ALOS/PRISM images: implementation / H. Fujimura in Bulletin of the Geographical survey institute, vol 56 (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)PermalinkNeuro-fuzzy based analysis of hyperspectral imagery / F. Qiu in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)Permalinkvol 46 n° 10 Tome 1 - October 2008 - Special issue on the 2007 International Geoscience and Remote Sensing Symposium (IGARSS'07): sensing and understanding our planet, [actes], Barcelona, July 23-27, 2007. Part 1 of two parts (Bulletin de IEEE Transactions on geoscience and remote sensing) / A. CampsPermalinkvol 46 n° 10 Tome 2 - October 2008 - Special issue on the 2007 International Geoscience and Remote Sensing Symposium (IGARSS'07): sensing and understanding our planet, [actes], Barcelona, July 23-27, 2007. Part 2 of two parts (Bulletin de IEEE Transactions on geoscience and remote sensing) / A. CampsPermalinkThe Sichuan earthquake (1): satellite imagery for rapid response / Timo Balz in GIM international, vol 22 n° 10 (October 2008)PermalinkApproches de classification évidentielle et paradoxale d'images satellitaires multispectrales pour l'amélioration de la carte d'occupation du sol : application au milieu urbain et périurbain de la région d'Alger / R. Khedam in Revue Française de Photogrammétrie et de Télédétection, n° 190 (Septembre 2008)PermalinkDetection, characterization, and modeling vegetation in urban areas from high-resolution aerial imagery / Corina Iovan in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 1 n° 3 (2008)PermalinkOptimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkPotential accuracy of image orientation of small satellites: a case study of CHRIS/Proba data / Ahmed Shaker in Photogrammetric record, vol 23 n° 123 (September - November 2008)Permalink