Isbn: 9786207483433 - deep learning approches for geospatial data processsing (4 risultati)

Taschenbuch. Condizione: Neu. DEEP LEARNING APPROCHES FOR GEOSPATIAL DATA PROCESSSING | Vimalraj N (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207483433 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 104 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book equips you with the necessary knowledge and insights to grasp the transformative impact of deep learning on geospatial data processing, opening doors to a future brimming with possibilities and advancements across numerous domains.The landscape of geospatial data processing is undergoing a transformative shift driven by the immense power of deep learning. Our ability to analyze and extract meaningful insights from the ever-growing volume and complexity of geospatial data, encompassing satellite imagery, aerial photographs, point clouds, and sensor measurements, has been significantly enhanced.The vast realm of geospatial data, encompassing satellite imagery, point clouds, and sensor readings, holds immense potential for unlocking insights about our planet. However, the sheer volume, complexity, and variability of this data pose significant challenges to traditional processing methods. This book dives into the transformative power of deep learning, a cutting-edge approach within artificial intelligence, to address these hurdles.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book equips you with the necessary knowledge and insights to grasp the transformative impact of deep learning on geospatial data processing, opening doors to a future brimming with possibilities and advancements across numerous domains.The landscape of geospatial data processing is undergoing a transformative shift driven by the immense power of deep learning. Our ability to analyze and extract meaningful insights from the ever-growing volume and complexity of geospatial data, encompassing satellite imagery, aerial photographs, point clouds, and sensor measurements, has been significantly enhanced.The vast realm of geospatial data, encompassing satellite imagery, point clouds, and sensor readings, holds immense potential for unlocking insights about our planet. However, the sheer volume, complexity, and variability of this data pose significant challenges to traditional processing methods. This book dives into the transformative power of deep learning, a cutting-edge approach within artificial intelligence, to address these hurdles.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.…