Descripteur
Documents disponibles dans cette catégorie (1660)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
Etendre la recherche sur niveau(x) vers le bas
vol 25 n° 6 - 2008-6 (Bulletin de Traitement du signal)
[n° ou bulletin]
Titre : vol 25 n° 6 - 2008-6 Type de document : Périodique Année de publication : 2008 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image Numéro de notice : 145-0805 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=15642 [n° ou bulletin]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 145-08051 RAB Revue Centre de documentation En réserve L003 Disponible An innovative method to classify remote-sensing images using Ant Colony Optimization / X. Liu in IEEE Transactions on geoscience and remote sensing, vol 46 n° 12 (December 2008)
![]()
[article]
Titre : An innovative method to classify remote-sensing images using Ant Colony Optimization Type de document : Article/Communication Auteurs : X. Liu, Auteur ; X. Li, Auteur Année de publication : 2008 Article en page(s) : pp 4198 - 4208 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] discrétisation
[Termes IGN] image TM (aérienne)
[Termes IGN] optimisation par colonie de fourmisRésumé : (Auteur) This paper presents a new method to improve the classification performance for remote-sensing applications based on swarm intelligence. Traditional statistical classifiers have limitations in solving complex classification problems because of their strict assumptions. For example, data correlation between bands of remote-sensing imagery has caused problems in generating satisfactory classification using statistical methods. In this paper, ant colony optimization (ACO), based upon swarm intelligence, is used to improve the classification performance. Due to the positive feedback mechanism, ACO takes into account the correlation between attribute variables, thus avoiding issues related to band correlation. A discretization technique is incorporated in this ACO method so that classification rules can be induced from large data sets of remote-sensing images. Experiments of this ACO algorithm in the Guangzhou area reveal that it yields simpler rule sets and better accuracy than the See 5.0 decision tree method. Copyright IEEE Numéro de notice : A2008-488 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2001754 En ligne : https://doi.org/10.1109/TGRS.2008.2001754 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29557
in IEEE Transactions on geoscience and remote sensing > vol 46 n° 12 (December 2008) . - pp 4198 - 4208[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-08121 RAB Revue Centre de documentation En réserve L003 Disponible Extraction of land cover themes from aerial ortho-images in mountainous areas using external information / Arnaud Le Bris in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
![]()
[article]
Titre : Extraction of land cover themes from aerial ortho-images in mountainous areas using external information Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Didier Boldo
, 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 387 - 404 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction automatique
[Termes IGN] image aérienne
[Termes IGN] montagne
[Termes IGN] occupation du sol
[Termes IGN] ombre
[Termes IGN] orthoimage
[Termes IGN] valeur radiométriqueRésumé : (Auteur) In mountainous areas, land cover extraction from ortho-images through semi-automatic classification techniques is limited by several factors including large shadow areas, radiometric similarities between distinct themes and inhomogeneous radiometry among regions of the same class. The information in the image is thus not sufficient to separate the different classes. Nevertheless, good results can be obtained by dividing each land cover class into two subclasses, "shadow" and "non-shadow", and introducing external information into the classification process. This information can be derived from an older or more generalised database, geographical knowledge concerning the links between relief and land cover, or prior information concerning shadows. This external knowledge is then interpreted in terms of prior probabilities and merged with radiometric information from the image in a "maximum a posteriori (MAP) per region" classification process. Moreover, the results can also be improved by the use of combinations of derived channels calculated from the initial spectral bands of the image. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-419 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00502.x Date de publication en ligne : 24/11/2008 En ligne : https://doi.org/10.1111/j.1477-9730.2008.00502.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29490
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 387 - 404[article]Road junction extraction from high-resolution aerial imagery / M. Ravanbakhsh in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
![]()
[article]
Titre : Road junction extraction from high-resolution aerial imagery Type de document : Article/Communication Auteurs : M. Ravanbakhsh, Auteur ; Christian Heipke, Auteur ; Kian Pakzad, 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 405 - 423 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carrefour
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image aérienne
[Termes IGN] objet géographique zonal
[Termes IGN] réseau routierRésumé : (Auteur) Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this research, road junctions are modelled in detail as area objects and an approach is proposed for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from a topographic geospatial database is used to facilitate the extraction. A new snake-based approach is proposed that makes use of the "ziplock snake" concept and whose external force is a combination of the gradient vector flow (GVF) force and the balloon force in order to delineate the junction border. Road arm extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using aerial black-and-white Digital Mapping Camera (DMC) ortho-images of 0·1 m ground resolution taken from suburban and rural areas. The results obtained demonstrate the validity of this approach. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-420 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00496.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00496.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29491
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 405 - 423[article]Striping noise detection and correction of remote sensing images / F. Tsai in IEEE Transactions on geoscience and remote sensing, vol 46 n° 12 (December 2008)
![]()
[article]
Titre : Striping noise detection and correction of remote sensing images Type de document : Article/Communication Auteurs : F. Tsai, Auteur ; W. Chen, Auteur Année de publication : 2008 Article en page(s) : pp 4122 - 4131 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] délignage
[Termes IGN] filtrage du bruit
[Termes IGN] filtre de Canny
[Termes IGN] fonction spline d'interpolation
[Termes IGN] image numérique
[Termes IGN] niveau de gris (image)Résumé : (Auteur) This paper presents an image destriping system for correcting striping noise of remote-sensing images. The developed system identifies stripe positions based on edge-detection and line-tracing algorithms. Pixels not affected by striping are used as control points to construct cubic spline functions describing spatial gray level distributions of an image. Detected stripes are corrected by replacing the pixels with more reasonable gray values computed from constructed spline functions. Gray values of clean pixels not affected by stripes are not altered to preserve data genuineness. Several experimental results demonstrate that the developed system can correctly detect stripes in remote-sensing images and effectively repair them. Evaluations of the results based on an quantitative image quality index indicate that the image quality has been improved significantly after destriping. The destriped images are not only visually more plausible but also can provide better interpretability and are more suitable for computerized analysis. Copyright IEEE Numéro de notice : A2008-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2000646 En ligne : https://doi.org/10.1109/TGRS.2008.2000646 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29555
in IEEE Transactions on geoscience and remote sensing > vol 46 n° 12 (December 2008) . - pp 4122 - 4131[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-08121 RAB Revue Centre de documentation En réserve L003 Disponible Efficiently computing and deriving topological relation matrices between complex regions with broad boundaries / S. Du in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)
PermalinkFuzzy inference guided cellular automata urban-growth modelling using multi-temporal satellite images / S. Al-Kheder in International journal of geographical information science IJGIS, vol 22 n°11-12 (november 2008)
PermalinkA Polygonal approach for automation in extraction of serial modular roofs / Y. Avrahami in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)
PermalinkAn assessment of the effects of cell size on AGNPS modeling of watershed runoff / S.S. Wu in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)
PermalinkGenetic algorithms for the calibration of cellular automata urban growth modeling / J. Shan in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)
PermalinkSimulating complex adaptative geographic systems: a geographically aware intelligent agent approach / W. Tang in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)
PermalinkA wavelet based technique for sea wind extraction from SAR images / S. Zecchetto in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 1 (October 2008)
PermalinkSemi-automatic extraction of 3D lines using a scalable edge model and least-squares template matching / Xiangyun Hu in Geomatica, vol 62 n° 3 (September 2008)
PermalinkA framework of region-based spatial relations for non-overlapping features and its application in object based image analysis / Y. Liu in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
PermalinkLand cover classification of the North China Plain using MODIS-EVI time series / Z. Xia in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
Permalink