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Autore: | Favorskaya Margarita N |
Titolo: | Handbook on Advances in Remote Sensing and Geographic Information Systems : Paradigms and Applications in Forest Landscape Modeling / / by Margarita N. Favorskaya, Lakhmi C. Jain |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (XIX, 415 p. 109 illus.) |
Disciplina: | 634.92 |
Soggetto topico: | Computational intelligence |
Geographical information systems | |
Signal processing | |
Image processing | |
Speech processing systems | |
Artificial intelligence | |
Computational Intelligence | |
Geographical Information Systems/Cartography | |
Signal, Image and Speech Processing | |
Artificial Intelligence | |
Persona (resp. second.): | JainLakhmi C |
Nota di bibliografia: | Includes bibliographical references at the end of each chapters. |
Nota di contenuto: | Innovations in Remote Sensing of Forests -- Overview of LiDAR Technologies and Equipment for Land Cover Scanning -- Software Tools for Terrain and Forest Modelling -- Data Fusion for Evaluation of Woodland Parameters -- Tree Modelling in Virtual Reality Environment -- Realistic Tree Modelling -- Digital Modelling of Terrain Surface -- Texturing of Landscape Scenes -- Large Scene Rendering -- Scene Rendering under Meteorological Impacts -- Lighting and Shadows Rendering in Natural Scenes -- Modelling of Forest Ecosystems. |
Sommario/riassunto: | This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling. Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications. |
Titolo autorizzato: | Handbook on Advances in Remote Sensing and Geographic Information Systems |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910254174303321 |
Lo trovi qui: | Univ. Federico II |
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