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Geographic Information Systems in geospatial intelligence / Rustam B. Rustamov (2020)  

Public Titre : Geographic Information Systems in geospatial intelligence Type de document : Monographie Auteurs : Rustam B. Rustamov, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2020 Importance : 190 p. ISBN/ISSN/EAN : 978-1-83880-505-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] Airborne Data Acquisition and Registration [Termes IGN] apprentissage automatique [Termes IGN] base de données localisées [Termes IGN] détection automatique [Termes IGN] détection d'objet [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] Global Positioning System [Termes IGN] image hyperspectrale [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] route [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol Résumé : (Editeur) Earth observation systems, by use of space science and technology advances, present a large-scale opportunity for applying remote sensing methods with geographical information system (GIS) developments. Integrating these two methods makes it possible to achieve high-accuracy satellite data processing. This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field. Chapters cover topics such as RGB-D sensors for autonomous pothole detection, machine learning in GIS, interferometric synthetic aperture radar (InSAR) modeling, and others. Note de contenu : Chapter 1 - InSAR modeling of geophysics measurements Chapter 2 - Expanding navigation systems by integrating it with advanced technologies Chapter 3 - A review of the machine learning in GIS for megacities application Chapter 4 - Study of equatorial plasma bubbles using ASI and GPS systems Chapter 5 - Spectral optimization of airborne multispectral camera for land cover classification: automatic feature selection and spectral band clustering Chapter 6 - Clustering techniques for land use land cover classification of remotely sensed images Chapter 7 - Building an integrated database of road design elements Chapter 8 - On the use of low-cost RGB-D sensors for autonomous pothole detection with spatial fuzzy c-means segmentation Numéro de notice : 26559 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.84925 En ligne : http://doi.org/10.5772/intechopen.84925 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98242