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Fusion of hyperspectral data using segmented PCT for color representation and classification / V. Tsagaris in IEEE Transactions on geoscience and remote sensing, vol 43 n° 10 (October 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 10 (October 2005) . - pp 2365 - 2375 Titre : Fusion of hyperspectral data using segmented PCT for color representation and classification Type de document : Article/Communication Auteurs : V. Tsagaris, Auteur ; V. Anastassopoulos, Auteur ; G.A. Lampropoulos, Auteur Année de publication : 2005 Article en page(s) : pp 2365 - 2375 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse en composantes principales [Termes IGN] classification dirigée [Termes IGN] coefficient de corrélation [Termes IGN] couleur à l'écran [Termes IGN] entropie [Termes IGN] fusion d'images [Termes IGN] image hyperspectrale [Termes IGN] image RVB [Termes IGN] partitionnement [Termes IGN] signature spectrale Résumé : (Auteur) Fusion of hyperspectral data is proposed by means of partitioning the hyperspectral bands into subgroups, prior to principal components transformation (PCT). The first principal component of each subgroup is employed for image visualization. The proposed approach is general, with the number of bands in each subgroup being application dependent. Nevertheless, the paper focuses on partitions with three subgroups suitable for RGB representation. One of them employs matched-filtering based on the spectral characteristics of various materials and is very promising for classification purposes. The information content of the hyperspectral bands as well as the quality of the obtained RGB images are quantitatively assessed using measures such as the correlation coefficient, the entropy, and the maximum energy-minimum correlation index. The classification performance of the proposed partitioning approaches is tested using the K-means algorithm. Numéro de notice : A2005-413 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.856104 En ligne : https://doi.org/10.1109/TGRS.2005.856104 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27549 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Rectangular building extraction from stereoscopic airborne Radar images / Elisabeth Simonetto in IEEE Transactions on geoscience and remote sensing, vol 43 n° 10 (October 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 10 (October 2005) . - pp 2386 - 2395 Titre : Rectangular building extraction from stereoscopic airborne Radar images Type de document : Article/Communication Auteurs : Elisabeth Simonetto, Auteur ; Hélène Oriot, Auteur ; René Garello, Auteur Année de publication : 2005 Article en page(s) : pp 2386 - 2395 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse comparative [Termes IGN] appariement dense [Termes IGN] Bâti-3D [Termes IGN] détection du bâti [Termes IGN] extraction automatique [Termes IGN] image à haute résolution [Termes IGN] image aérienne [Termes IGN] image radar [Termes IGN] image RAMSES [Termes IGN] lever altimétrique [Termes IGN] modèle numérique de surface [Termes IGN] modèle stéréoscopique [Termes IGN] optimisation (mathématiques) [Termes IGN] radargrammétrie [Termes IGN] réalité de terrain [Termes IGN] transformation de Hough Résumé : (Auteur) From the recent availability of images recorded by synthetic aperture radar (SAR) airborne systems, automatic results of digital elevation models (DEMs) on urban structures have been published lately. This paper deals with automatic extraction of three-dimensional (3-D) buildings from stereoscopic high-resolution images recorded by the SAR airborne RAMSES sensor from the French Aerospace Research Center (ONERA). On these images, roofs are not very textured whereas typical strong L-shaped echoes are visible. These returns generally result from dihedral corners between ground and structures. They provide a part of the building footprints and the ground altitude, but not the building heights. Thus, we present an adapted processing scheme in two steps. First is stereoscopic structure extraction from L-shaped echoes. Buildings are detected on each image using the Hough transform. Then they are recognized during a stereoscopic refinement stage based on a criterion optimization. Second, is height measurement. As most of previous extracted footprints indicate the ground altitude, building heights are found by monoscopic and stereoscopic measures. Between structures, ground altitudes are obtained by a dense matching process. Experiments are performed on images representing an industrial area. Results are compared with a ground truth. Advantages and limitations of the method are brought out. Numéro de notice : A2005-414 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.853570 En ligne : https://doi.org/10.1109/TGRS.2005.853570 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27550 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05101	RAB	Revue	Centre de documentation	En réserve L003	Disponible