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Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing


Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing
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Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing


Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing
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Author : Ni-Bin Chang
language : en
Publisher: CRC Press
Release Date : 2018-02-21

Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing written by Ni-Bin Chang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Technology & Engineering categories.


In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.



Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing


Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing
DOWNLOAD
Author : Ni-Bin Chang
language : en
Publisher: CRC Press
Release Date : 2018-02-21

Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing written by Ni-Bin Chang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Technology & Engineering categories.


In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.



Optical Remote Sensing Of Ocean Hydrodynamics


Optical Remote Sensing Of Ocean Hydrodynamics
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Author : Victor Raizer
language : en
Publisher: CRC Press
Release Date : 2019-03-04

Optical Remote Sensing Of Ocean Hydrodynamics written by Victor Raizer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Technology & Engineering categories.


Optical Remote Sensing is one of the main technologies used in sea surface monitoring. Optical Remote Sensing of Ocean Hydrodynamics investigates and demonstrates capabilities of optical remote sensing technology for enhanced observations and detection of ocean environments. It provides extensive knowledge of physical principles and capabilities of optical observations of the oceans at high spatial resolution, 1-4m, and on the observations of surface wave hydrodynamic processes. It also describes the implementation of spectral-statistical and fusion algorithms for analyses of multispectral optical databases and establishes physics-based criteria for detection of complex wave phenomena and hydrodynamic disturbances including assessment and management of optical databases. This book explains the physical principles of high-resolution optical imagery of the ocean surface, discusses for the first time the capabilities of observing hydrodynamic processes and events, and emphasizes the integration of optical measurements and enhanced data analysis. It also covers both the assessment and the interpretation of dynamic multispectral optical databases and includes applications for advanced studies and nonacoustic detection. This book is an invaluable resource for researches, industry professionals, engineers, and students working on cross-disciplinary problems in ocean hydrodynamics, optical remote sensing of the ocean and sea surface remote sensing. Readers in the fields of geosciences and remote sensing, applied physics, oceanography, satellite observation technology, and optical engineering will learn the theory and practice of optical interactions with the ocean.



Intelligent Data Mining And Fusion Systems In Agriculture


Intelligent Data Mining And Fusion Systems In Agriculture
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Author : Xanthoula-Eirini Pantazi
language : en
Publisher: Academic Press
Release Date : 2019-10-08

Intelligent Data Mining And Fusion Systems In Agriculture written by Xanthoula-Eirini Pantazi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Business & Economics categories.


Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. - Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture - Addresses AI use in weed management, disease detection, yield prediction and crop production - Utilizes case studies to provide real-world insights and direction



Data Fusion Mathematics


Data Fusion Mathematics
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Author : Jitendra R. Raol
language : en
Publisher: CRC Press
Release Date : 2025-06-30

Data Fusion Mathematics written by Jitendra R. Raol and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Technology & Engineering categories.


Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion (DF) and provides a proper and adequate understanding of the basic mathematics directly related to DF. This new edition offers updated chapters alongside four new chapters that are based on recent research carried out by the authors, including topics on machine learning techniques, target localization using a network of 2D ground radar, thermal imaging sensors for multi‐target angle‐only tracking, and multi‐sensor data fusion for a single platform and team platforms. This book also covers major mathematical expressions, formulae and equations, and, where feasible, their derivations. It discusses signed distance function concepts, DF models and architectures, aspects and methods of types 1 and 2 fuzzy logics, and related practical applications. In addition, the authors cover soft computing paradigms that are finding increasing applications in multi-sensory DF approaches and applications. This text is geared toward researchers, scientists, teachers, and practicing engineers interested in and working in the multi‐sensor data fusion area.



Seismotectonics Of The East Mediterranean Red Sea Region


Seismotectonics Of The East Mediterranean Red Sea Region
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Author : Zakaria Hamimi
language : en
Publisher: Springer Nature
Release Date : 2025-06-03

Seismotectonics Of The East Mediterranean Red Sea Region written by Zakaria Hamimi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Science categories.


This volume is considered as a unique book outlining new advances in seismotectonic research of the East Mediterranean-Red Sea Region (EMRSR). The dedicated chapters will outline the region in terms of tectonic segmentation, kinematics, and possible causes of it. It will provide state of art overview along-strike variations in geometry and behavior of faulting, jog characteristics of the active tectonic zones, analysis of earthquake clustering features, crustal deformation, constraining crustal velocity fields, relationship between strain rate and seismicity, paleoseismology, as well as global and regional seismicity. There will be specific topics within the book dedicated to the probabilistic seismic-hazard assessment of the EMRSR including its crustal stress field evolution and its implications for fault mechanics, earthquake source parameters and moment tensors, and description of double-coupled earthquake focal mechanism. Also, earthquake-induced deformational structures focusing on afterslip and spontaneous aseismic slip processes will provide a complete picture for the reader about this fascinating active region. Sections documenting the stress field variations and kinematics for diffuse microseismicity will also be developed. Other cutting edge research, such as progressive failure, spatiotemporal characteristics of seismicity that depends on accurate earthquake locations, as well as relationship of global distribution to earthquake-source geometry and tectonic origin provides up to date information within the EMRSR realm. The significance of the ambient noise level and site characterization specific to EMRSR and congruence and incongruence of active tectonic zones with normal plate kinematics will be shown in illustrative sections of this new book. The book also will explore the potential relationship of seismotectonics to sustainable development as a key societal aspect of seismotectonic research in an active convergent plate margin region such as the EMRSR.



Agricultural Internet Of Things And Decision Support For Precision Smart Farming


Agricultural Internet Of Things And Decision Support For Precision Smart Farming
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Author : Annamaria Castrignano
language : en
Publisher: Academic Press
Release Date : 2020-01-09

Agricultural Internet Of Things And Decision Support For Precision Smart Farming written by Annamaria Castrignano and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-09 with Business & Economics categories.


Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. - Presents the science behind smart technologies for agricultural management - Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space - Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable



Remote Sensing Of Climate


Remote Sensing Of Climate
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Author : Timothy Dube
language : en
Publisher: Elsevier
Release Date : 2024-08-12

Remote Sensing Of Climate written by Timothy Dube and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-12 with Technology & Engineering categories.


Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field. - Discusses advancements and future research directions in remote sensing for climate variability in a variety of environments - Includes simplified and condensed methodologies and data analytics - Provides case studies on remote sensing of climate variability, both of the Northern hemisphere temperate systems which are little affected by climate variability, and the greater-impacted global south



Advances In Passive Microwave Remote Sensing Of Oceans


Advances In Passive Microwave Remote Sensing Of Oceans
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Author : Victor Raizer
language : en
Publisher: CRC Press
Release Date : 2024-09-05

Advances In Passive Microwave Remote Sensing Of Oceans written by Victor Raizer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-05 with Technology & Engineering categories.


This new edition introduces the fundamentals of passive microwave remote sensing of oceans, including the physical principles of microwave radiometry, novel observational data, their interpretation, and applications. It not only demonstrates and examines the recent advantages and state of the art of microwave data but also provides guidance for explaining complex ocean studies and advanced applications. All chapters are thoroughly updated with detailed analysis of space‐based microwave missions, and a new chapter on space‐based microwave radiometer experiments has been added. This book discusses the power of microwave remote sensing as an efficient tool for diagnostics of ocean phenomena in research and education. Features New to this Edition: • Includes a new chapter and additional data, images, illustrations, and references. • Uses ocean microwave data, acquired from different platforms, to illustrate different methods of analysis and interpretation. • Updates information on recent and important satellite missions dedicated to microwave remote sensing of oceans. • Offers more detailed analysis of multiband microwave data and images. • Provides examples of microwave data that cover different ocean environmental phenomena and hydro‐physical fields, including global and local ocean features. • Presents additional material on advanced applications, including detection capabilities. This book is intended for postgraduate students and professionals working in fields related to remote sensing, geography, oceanography, civil, environmental, and geotechnical engineering.



Body Sensor Networks


Body Sensor Networks
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Author : Guang-Zhong Yang
language : en
Publisher: Springer
Release Date : 2014-04-16

Body Sensor Networks written by Guang-Zhong Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-16 with Computers categories.


The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare. One key development in this area is wireless, wearable and implantable in vivo monitoring and intervention. A myriad of platforms are now available from both academic institutions and commercial organisations. They permit the management of patients with both acute and chronic symptoms, including diabetes, cardiovascular diseases, treatment of epilepsy and other debilitating neurological disorders. Despite extensive developments in sensing technologies, there are significant research issues related to system integration, sensor miniaturisation, low-power sensor interface, wireless telemetry and signal processing. In the 2nd edition of this popular and authoritative reference on Body Sensor Networks (BSN), major topics related to the latest technological developments and potential clinical applications are discussed, with contents covering. Biosensor Design, Interfacing and Nanotechnology Wireless Communication and Network Topologies Communication Protocols and Standards Energy Harvesting and Power Delivery Ultra-low Power Bio-inspired Processing Multi-sensor Fusion and Context Aware Sensing Autonomic Sensing Wearable, Ingestible Sensor Integration and Exemplar Applications System Integration and Wireless Sensor Microsystems The book also provides a comprehensive review of the current wireless sensor development platforms and a step-by-step guide to developing your own BSN applications through the use of the BSN development kit.