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Published by Editions Notre Savoir, 2023
ISBN 10: 6205686996 ISBN 13: 9786205686997
Language: French
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Published by Editions Notre Savoir Feb 2023, 2023
ISBN 10: 6205686996 ISBN 13: 9786205686997
Language: French
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Add to basketTaschenbuch. Condition: Neu. Neuware -Ce travail de maître sur 'l'influence topographique de l'analyse de la détection des changements à l'aide de données satellitaires' a impliqué différents types de correction tels que la correction géométrique, atmosphérique, radiométrique et topographique pour surmonter l'effet indésirable de l'imagerie satellitaire multi-spectrale. Récemment, nous avons constaté une croissance exponentielle de l'utilisation des données multispectrales dans différentes applications telles que la surveillance de l'évaluation des dommages, la surveillance de l'utilisation des terres et de la couverture des terres (LULC), les avalanches de neige ou les crues soudaines et l'analyse de la détection des changements. Il est donc nécessaire d'effectuer les étapes préliminaires avant de procéder à une analyse plus approfondie. Ce livre est principalement destiné à servir de manuel aux chercheurs dans le domaine du traitement des images satellites, de la télédétection, de l'analyse de la détection des changements et des corrections topographiques. On s'attend à ce que de telles corrections dans les étapes préliminaires puissent jouer un rôle efficace dans la surveillance opérationnelle ou la cartographie de l'UTC. Les différentes méthodes de correction topographique sont comparées, puis la méthode de correction topographique adaptée à la couverture neigeuse de l'Himalaya est appliquée à l'analyse de détection des changements. En outre, ce processus a été appliqué pour les données de deux capteurs satelBooks on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Französisch.
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Published by Elsevier Science Ltd, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
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Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
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Paperback. Condition: new. Paperback. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketHardcover. Condition: new. Hardcover. The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth's surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing. RADAR stands for "Remote Sensing Data Analysis with Artificial Intelligence". This book discusses how AI augments the capability of RADAR in diverse applications. From state-of-the-art techniques to real-time challenges and the huge potential that A Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
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Published by John Wiley & Sons Inc, New York, 2025
ISBN 10: 1394287194 ISBN 13: 9781394287192
Language: English
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Hardcover. Condition: new. Hardcover. Invest in Artificial Intelligence in Remote Sensing for Disaster Management to gain invaluable insights into cutting-edge AI technologies and their transformative role in effectively monitoring and managing natural disasters. Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketBuch. Condition: Neu. Neuware -The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth's surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing. 250 pp. Englisch.
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Add to basketBuch. Condition: Neu. Neuware -The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth's surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing. 250 pp. Englisch.
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Add to basketBuch. Condition: Neu. Neuware - The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth's surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing.
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Published by Elsevier Science Publishing Co Inc, San Diego, 2024
ISBN 10: 0443241392 ISBN 13: 9780443241390
Language: English
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Paperback. Condition: new. Paperback. Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming is the first book to focus on the integration of multiple techniques and technologies to create an ecosystem sustaining approach that doesnt compromise soil health or environmental safety as it increases crop yield. The book highlights the integration of state-of-the-art tools and working models to address the various challenges in the field of agriculture. It also identifies and discusses the potential and challenges of hyperautomation in sustainable agriculture with respect to efficiency improvement and human enhancement of automated operations.Hyperautomation is a true digital transformation in sustainable agriculture utilizing advanced techniques such as robotic process automation (RPA), digital process automation (DPA), unmanned aerial vehicle (UAV), controlled-environment agriculture (CEA), remote sensing, internet of things (IoT), crop modeling, precision farming, sustainable yield, image analysis, data fusion, artificial intelligence (AI), machine learning (ML), and deep learning (DL). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketCondition: New. Dr. Alessandro Vinciarelli Dr. Alessandro Vinciarelli is a Full Professor at the University of Glasgow, affiliated with both the School of Computing Science and the Institute of Neuroscience and Psychology. As a member of the Social AI group, he .
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