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Record Nr. |
UNINA9910254174303321 |
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Autore |
Favorskaya Margarita N |
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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 |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIX, 415 p. 109 illus.) |
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Collana |
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Intelligent Systems Reference Library, , 1868-4394 ; ; 122 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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