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Termes IGN > sciences naturelles > physique > traitement d'image > analyse d'image numérique > extraction de traits caractéristiques
extraction de traits caractéristiquesSynonyme(s)extraction des caractéristiques extraction de primitiveVoir aussi |
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Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on Self-Organizing Maps / Matthieu Molinier in IEEE Transactions on geoscience and remote sensing, vol 45 n° 4 (April 2007)
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[article]
Titre : Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on Self-Organizing Maps Type de document : Article/Communication Auteurs : Matthieu Molinier, Auteur ; Jorma Laaksonen, Auteur ; Tuomas Häme, Auteur Année de publication : 2007 Article en page(s) : pp 861 - 874 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données d'images
[Termes IGN] carte de Kohonen
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] image à très haute résolution
[Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] recherche d'informationRésumé : (Auteur) The increasing amount and resolution of satellite sensors demand new techniques for browsing remote sensing image archives. Content-based querying allows an efficient retrieval of images based on the information they contain, rather than their acquisition date or geographical extent. Self-organizing maps (SOMs) have been successfully applied in the PicSOM system to content-based image retrieval in databases of conventional images. In this paper, we investigate and extend the potential of PicSOM for the analysis of remote sensing data. We propose methods for detecting man-made structures, as well as supervised and unsupervised change detection, based on the same framework. In this paper, a database was artificially created by splitting each satellite image to be analyzed into small images. After training the PicSOM on this imagelet database, both interactive and off-line queries were made to detect man-made structures, as well as changes between two very high resolution images from different years. Experimental results were both evaluated quantitatively and discussed qualitatively, and suggest that this new approach is suitable for analyzing very high resolution optical satellite imagery. Possible applications of this work include interactive detection of man-made structures or supervised monitoring of sensitive sites. Copyright IEEE Numéro de notice : A2007-220 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.890580 En ligne : https://doi.org/10.1109/TGRS.2006.890580 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28583
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 4 (April 2007) . - pp 861 - 874[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07041 RAB Revue Centre de documentation En réserve L003 Disponible Comparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data / S. Lu in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)
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Titre : Comparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data Type de document : Article/Communication Auteurs : S. Lu, Auteur ; K. Oki, Auteur Année de publication : 2007 Article en page(s) : pp 963 - 984 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture
[Termes IGN] analyse comparative
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] précision de la classification
[Termes IGN] surface cultivée
[Termes IGN] Tokyo (Japon)
[Termes IGN] utilisation du solRésumé : (Auteur) Airborne hyperspectral remote sensing was applied to agricultural land in the Miura Peninsula, near the metropolis of Tokyo in Japan. The study area is characterized by complicated land use patches, which is the general characteristic of most agricultural lands in Japan. Several feature extraction/classification methods were examined in classifying the land use and plant species. The results showed that decision boundary feature extraction (DBFE) was better than principal component analysis (PCA) as the feature extraction method. Moreover, the pre-classification process using NDVI that separates the whole study area into vegetated area and non-vegetated areas also improved the classification accuracy. After the pre-procedures, the land use and plant species were finally mapped by maximum likelihood classification (MLC) or extraction and classification of homogeneous objects (ECHO). The best kappa (overall accuracy) of classification was 0.914 (92.4%) and 0.924 (93.3%) for MLC and ECHO, respectively. The best accuracies of each category for the image were 79.5% to 100% for plant species (watermelon, pumpkin, marigold, grass and tree), 88.7% to 100% for soil types, 97.8% for concrete, and 99.4% for vinyl-mulches. Although, built-up area has low estimation accuracy, this did not affect the overall classification accuracy because it covers only a very small area. Copyright Taylor & Francis Numéro de notice : A2007-097 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600771561 En ligne : https://doi.org/10.1080/01431160600771561 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28462
in International Journal of Remote Sensing IJRS > vol 28 n°5-6 (March 2007) . - pp 963 - 984[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07031 RAB Revue Centre de documentation En réserve L003 Disponible Feature extractions for small sample size classification problem / B.C. Kuo in IEEE Transactions on geoscience and remote sensing, vol 45 n° 3 (March 2007)
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Titre : Feature extractions for small sample size classification problem Type de document : Article/Communication Auteurs : B.C. Kuo, Auteur ; K.Y. Chang, Auteur Année de publication : 2007 Article en page(s) : pp 756 - 764 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] algorithme génétique
[Termes IGN] classification dirigée
[Termes IGN] décomposition du pixel
[Termes IGN] détection de contours
[Termes IGN] reconnaissance de formes
[Termes IGN] valeur propreRésumé : (Auteur) Much research has shown that the definitions of within-class and between-class scatter matrices and regularization technique are the key components to design a feature extraction for small sample size problems. In this paper, we illustrate the importance of another key component, eigenvalue decomposition method, and a new regularization technique was proposed. In the hyperspectral image experiment, the effects of these three components of feature extraction are explored on ill-posed and poorly posed conditions. The experimental results show that different regularization methods need to cooperate with different eigenvalue decomposition methods to reach the best performance, the proposed regularization method, regularized feature extraction (RFE) outperform others, and the best feature extraction for a small sample size classification problem is RFE with nonparametric weighted scatter matrices. Numéro de notice : A2007-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.885074 En ligne : https://doi.org/10.1109/TGRS.2006.885074 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28453
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 3 (March 2007) . - pp 756 - 764[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07031 RAB Revue Centre de documentation En réserve L003 Disponible Oil spill detection in Radarsat and Envisat SAR images / A.H. Solberg in IEEE Transactions on geoscience and remote sensing, vol 45 n° 3 (March 2007)
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Titre : Oil spill detection in Radarsat and Envisat SAR images Type de document : Article/Communication Auteurs : A.H. Solberg, Auteur ; C. Brekke, Auteur ; P.O. Husoy, Auteur Année de publication : 2007 Article en page(s) : pp 746 - 755 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] classification dirigée
[Termes IGN] détection automatique
[Termes IGN] détection de contours
[Termes IGN] hydrocarbure
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar
[Termes IGN] image Radarsat
[Termes IGN] marée noire
[Termes IGN] pollution des mersRésumé : (Auteur) We present algorithms for automatic detection of oil spills in synthetic aperture radar (SAR) images. The algorithms consist of three main parts, namely: 1) detection of dark spots; 2) feature extraction from the dark spot candidates; and 3) classification of dark spots as oil spills or look-alikes. The algorithms have been trained on a large number of Radarsat and Envisat Advanced Synthetic Aperture Radar (ASAR) images. The performance of the algorithm is compared to manual and semiautomatic approaches in a benchmark study using 59 Radarsat and Envisat images. The algorithms can be considered to be a good alternative to manual inspection when large ocean areas are to be inspected. Copyright IEEE Numéro de notice : A2007-087 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.887019 En ligne : https://doi.org/10.1109/TGRS.2006.887019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28452
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 3 (March 2007) . - pp 746 - 755[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07031 RAB Revue Centre de documentation En réserve L003 Disponible Open-source software-operated CMOS camera for real-time mapping / Hervé Gontran in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)
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Titre : Open-source software-operated CMOS camera for real-time mapping Type de document : Article/Communication Auteurs : Hervé Gontran, Auteur ; Jan Skaloud, Auteur ; N. Janvier, Auteur Année de publication : 2007 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 73 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] axe médian
[Termes IGN] chambre CMOS
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] géoréférencement direct
[Termes IGN] image vidéo
[Termes IGN] logiciel libre
[Termes IGN] prise de vue terrestre
[Termes IGN] route
[Termes IGN] système de numérisation mobile
[Termes IGN] temps réelRésumé : (Auteur) Accurate time registration, georeferencing, and instantaneous feature extraction are important challenges for real-time mapping systems. The Geodetic Engineering Laboratory (TOPO) at the EPFL has designed a mobile platform to automatically determine the geometry of the road centerline: the Photobus. Our system fully exploits the concept of direct georeferencing by combining navigation data with video sequences grabbed by a downward-pointing camera. This paper presents the realization of the authors' vision of real-time mapping that encompasses a mobile acquisition platform dedicated for a well-defined task. To sustain the high performance requirements of such a data-critical application, the use of custom-made software based on open-source libraries is a preferred approach of implementation. In this context, we investigate the suitability of using a close-to-nadiral CMOS camera to extract the road geometry with a reliable and almost latency-free methodology. We will first focus on the frame-grabbing process for which an open-source approach guarantees the versatile integration of the camera into the mapping platform. The second part of the paper discusses the process of extracting and georeferencing features of interest in an automatic manner. To open perspectives, we will investigate an extension of the surveying capabilities of the Photobus with stereovision. Copyright SFPT Numéro de notice : A2007-401 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/T10-42.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28764
in Revue Française de Photogrammétrie et de Télédétection > n° 185 (Mars 2007) . - pp 73 - 77[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-07011 RAB Revue Centre de documentation En réserve L003 Disponible Semi-automatic approach toward mapping of flat-roofed buildings within a non-stereoscopic environment / Y. Avrahami in Photogrammetric record, vol 22 n° 117 (March - May 2007)
Permalink2D building change detection from high resolution aerial images and correlation digital surface models / Nicolas Champion (2007)
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PermalinkPermalinkAutomatic extraction and classification of vegetation areas from high resolution images in urban areas / Corina Iovan (2007)
PermalinkExtraction 3D de marquages routiers à partir d'images aériennes multi-vues et quelques applications / Olivier Tournaire (2007)
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PermalinkExtraction of landcover themes out of aerial orthoimages in mountainous areas using external information / Arnaud Le Bris (2007)
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PermalinkImage Analysis and Recognition, 4th International Conference, ICIAR 2007, Montreal, Canada, August 2007 / Mohamed Kamel (2007)
PermalinkPermalinkPermalinkAutomatic 3D building reconstruction from DEMs: an application to Pleiades simulations / Florent Lafarge in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)
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