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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)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1585 - 1596 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 contexte Résumé : (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 [article]

Topographic data bases in the product generation of IRS-P6 Liss-4 imagery / M.V. Jyothi in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 322 - 332 Titre : Topographic data bases in the product generation of IRS-P6 Liss-4 imagery Type de document : Article/Communication Auteurs : M.V. Jyothi, Auteur ; P. Radhadevi, Auteur ; S.S. Solanki, Auteur Année de publication : 2008 Article en page(s) : pp 322 - 332 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] base de données topographiques [Termes IGN] image à résolution subdecamétrique [Termes IGN] image IRS-LISS [Termes IGN] image multibande [Termes IGN] image panchromatique [Termes IGN] MNS GTOPO30 [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de surface Résumé : (Auteur) A continuous and autonomous co-registration and geo-location of image data from multiple sensors with widely varying view angles and resolution is one of the unique challenges of IRS-P6 data processing. The Liss-4 camera is capable of imaging in either multi-spectral or panchromatic modes with steerability up to +/- 27°. As the satellite sweeps longer strips with oblique viewing configuration, data product generation requires an elevation database to accommodate the errors due to terrain topography. SRTM, GTOPO30, DCW etc. are becoming hidden information to product generation schemes. In this paper, we analyze and justify the requirement of inclusion of a global DEM in the product generation system for Liss-4 data. In the first part of the study, after a brief introduction of sensor model, comparison of elevation from SRTM and GTOPO30 is made which leads towards a conclusion that GTOPO30 is adequate for improving the accuracy. The second part deals with the impact of GTOPO30 on geometric accuracy. Thirdly we analyze the terrain effects on band-to-band registration of Liss-4 multispectral data. A perfect band-to-band registration cannot be achieved without inclusion of digital elevation model. Many Liss-4 data sets with different tilts that cover terrain patches with flat, rolling and highly undulating nature are studied and the results reported. Copyright ISPRS Numéro de notice : A2008-214 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29209 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-08031	SL	Revue	Centre de documentation	Revues en salle	Disponible

Spatially integrated approach for terrain modelling and analysis for mobile communication applications / S. Muralikrishnan in Geocarto international, vol 22 n° 4 (December 2007 - January 2008)  

Public [article]  inGeocarto international > vol 22 n° 4 (December 2007 - January 2008) . - pp 297 - 307 Titre : Spatially integrated approach for terrain modelling and analysis for mobile communication applications Type de document : Article/Communication Auteurs : S. Muralikrishnan, Auteur ; I.V. Muralikrishnan, Auteur ; A.S. Manjunath, Auteur ; K.M.M. Rao, Auteur Année de publication : 2007 Article en page(s) : pp 297 - 307 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] fibre optique [Termes IGN] image à résolution subdecamétrique [Termes IGN] image IRS-PAN [Termes IGN] Inde [Termes IGN] modèle numérique de terrain [Termes IGN] réseau de télécommunication [Termes IGN] système d'information géographique [Termes IGN] télécommunication spatiale [Termes IGN] téléphonie mobile Résumé : (Auteur) In recent years in India, deregulation has opened the telecommunications market up to new arenas putting pressure on existing organizations to become more efficient. New technologies such as fibre optic cables, efficient terrestrial broadcasting and satellites are offering greatly increased bandwidth. However, the ever-increasing demand to provide low-cost and large area coverage with high reception quality has forced these industries to explore advanced optimization strategies for their network planning. The telecommunications companies have begun to recognize that many of their work practices have spatial elements and data can be used more efficiently. In the present study, a planning strategy for establishing a network of towers for the purpose of mobile communications using remote sensing and raster GIS is demonstrated. In particular, this study addresses how to develop a surface model using IRS-1C PAN stereo pair. This information derived from the satellite data was integrated with raster GIS GRID modelling. The study clearly demonstrates that the IRS data could be utilized for planning a suitable network of towers for telecom applications. Copyright Taylor & Francis Numéro de notice : A2007-540 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701204578 Date de publication en ligne : 19/11/2007 En ligne : https://doi.org/10.1080/10106040701204578 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28903 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-07041	RAB	Revue	Centre de documentation	En réserve L003	Disponible