Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation PDF Download
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Author: Maria Pia Del Rosso
Publisher: IET
ISBN: 1839532122
Category : Computers
Languages : en
Pages : 283
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Book Description
This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.
Author: Maria Pia Del Rosso
Publisher: IET
ISBN: 1839532122
Category : Computers
Languages : en
Pages : 283
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Book Description
This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.
Author: Nilanjan Dey
Publisher: Springer
ISBN: 3319899236
Category : Science
Languages : en
Pages : 163
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Book Description
This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.
Author: Chang-Wook Lee
Publisher: Mdpi AG
ISBN: 9783036516042
Category : Science
Languages : en
Pages : 166
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Book Description
This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.
Author: Gwanggil Jeon
Publisher: Mdpi AG
ISBN: 9783036579467
Category : Science
Languages : en
Pages : 0
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Book Description
This reprint provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.
Author: Bhupendra Jasani
Publisher: Springer Science & Business Media
ISBN: 1402084846
Category : Technology & Engineering
Languages : en
Pages : 330
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Book Description
David Stevens Space-based information, which includes earth observation data, is increasingly becoming an integral part of our lives. We have been relying for decades on data obtained from meteorological satellites for updates on the weather and to monitor weather-related natural disasters such as hurricanes. We now count on our personal satellite-based navigation systems to guide us to the nearest Starbucks Coffee and use web-based applications such as Google Earth and Microsoft Virtual Earth to study the area of places we will or would like to visit. At the same time, satellite-based technologies have experienced impressive growth in recent years with an increase in the number of available sensors, an increase in spatial, temporal and spectral resolutions, an increase in the availability of radar satellites such as Terrasar-X and ALOS, and the launching of specific constellations such as the Disaster Monitoring Constellation (DMC), COSMO- SkyMed (COnstellation of small Satellites for the Mediterranean basin Observation) and RapidEye. Even more recent are the initiatives being set-up to ensure that space-based information is being accessed and used by decision makers, such as Sentinel Asia for the Asia and Pacific region and SERVIR for the Latin America and Caribbean region.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309183391
Category : Science
Languages : en
Pages : 95
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Book Description
Over the past decade renewed interest in practical applications of Earth observations from space has coincided with and been fueled by significant improvements in the availability of remote sensing data and in their spectral and spatial resolution. In addition, advances in complementary spatial data technologies such as geographic information systems and the Global Positioning System have permitted more varied uses of the data. During the same period, the institutions that produce remote sensing data have also become more diversified. In the United States, satellite remote sensing was until recently dominated largely by federal agencies and their private sector contractors. However, private firms are increasingly playing a more prominent role, even a leadership role, in providing satellite remote sensing data, through either public-private partnerships or the establishment of commercial entities that serve both government and private sector Earth observation needs. In addition, a large number of private sector value-adding firms have been established to work with end users of the data. These changes, some technological, some institutional, and some financial, have implications for new and continuing uses of remote sensing data. To gather data for exploring the importance of these changes and their significance for a variety of issues related to the use of remote sensing data, the Space Studies Board initiated a series of three workshops. The first, "Moving Remote Sensing from Research to Applications: Case Studies of the Knowledge Transfer Process," was held in May 2000. This report draws on data and information obtained in the workshop planning meeting with agency sponsors, information presented by workshop speakers and in splinter group discussions, and the expertise and viewpoints of the authoring Steering Committee on Space Applications and Commercialization. The recommendations are the consensus of the steering committee and not necessarily of the workshop participants.
Author: Gustavo Camps-Valls
Publisher: Morgan & Claypool Publishers
ISBN: 1608458199
Category : Computers
Languages : en
Pages : 195
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Book Description
Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This book covers some of the fields in a comprehensive way. Table of Contents: Remote Sensing from Earth Observation Satellites / The Statistics of Remote Sensing Images / Remote Sensing Feature Selection and Extraction / {Classification / Spectral Mixture Analysis / Estimation of Physical Parameters
Author: Rifaat M. Abdalla
Publisher: BoD – Books on Demand
ISBN: 0854667105
Category :
Languages : en
Pages : 228
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Book Description
Author: DIANE Publishing Company
Publisher: DIANE Publishing
ISBN: 9780788113512
Category :
Languages : en
Pages : 228
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Book Description
Examines issues related to the development and operation of publicly funded U.S. and foreign civilian remote sensing systems. Explores the military and intelligence use of data gathered by civilian satellites. Examines the outlook for privately funded and operated remote sensing systems. Numerous charts, graphs, tables and photos.
Author: Emilio Chuvieco
Publisher: CRC Press
ISBN: 1498728073
Category : Science
Languages : en
Pages : 478
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Book Description
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Second Edition is a definitive guide to remote sensing systems that focuses on satellite-based remote sensing tools and methods for space-based Earth observation (EO). It presents the advantages of using remote sensing data for studying and monitoring the planet, and emphasizes co
