IGARSS 2018 2018 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2018 2018 IEEE International Geoscience and Remote Sensing Symposium

Author: IEEE Staff

Publisher:

Published: 2018-07-22

Total Pages:

ISBN-13: 9781538671511

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The International Geoscience and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society The topics of IGARSS cover a wide variety of research on the theory, techniques, and applications of remote sensing in geoscience, fundamentals of the interaction of electromagnetic waves with environment and observed target techniques and implementation of remote sensing for imaging and sounding analysis, processing and information technology of remote sensing data applications of remote sensing in different aspects of Earth science missions and projects of Earth observation satellites and airborne and ground based campaigns The theme of IGARSS 2018 is Observing, Understanding and Forecasting the Dynamics of our Planet, and emphasis will be given to special topics related to Earth sciences and emerging applications from novel remote sensing systems

Remote Sensing of Geomorphology
Remote Sensing of Geomorphology

Author:

Publisher: Elsevier

Published: 2020-04-16

Total Pages: 398

ISBN-13: 0444641785

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Remote Sensing of Geomorphology, Volume 23, discusses the new range of remote-sensing techniques (lidar, structure from motion photogrammetry, advanced satellite platforms) that has led to a dramatic increase in terrain information, and as such provided new opportunities for a better understanding of surface morphology and related Earth surface processes. As several papers have been published (including paper reviews and special issues) on this topic, this book summarizes the major advances in remote sensing techniques for the analysis of Earth surface morphology and processes, also highlighting future challenges. Useful for MSc and PhD students, this book is also ideal for any scientists that want to have a single volume guideline to help them develop new ideas. In addition, technicians and private and public sectors working on remote sensing will find the information useful to their initiatives. - Provides a useful guideline for MSc and PhD students, scientists, technicians, and land planners on the use of remote sensing in geomorphology - Includes applications on specific case studies that highlight issues and benefits of one technique compared to others - Presents future trends in remote sensing and geomorphology

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges
Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

Author: Jean-Jacques Rousseau

Publisher: Springer Nature

Published: 2023-08-01

Total Pages: 732

ISBN-13: 3031377427

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This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.

Nonlinear Blind Source Separation and Blind Mixture Identification
Nonlinear Blind Source Separation and Blind Mixture Identification

Author: Yannick Deville

Publisher: Springer Nature

Published: 2021-02-02

Total Pages: 75

ISBN-13: 3030649776

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This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communities.

Next-Generation High-Speed Satellite Interconnect
Next-Generation High-Speed Satellite Interconnect

Author: Pietro Nannipieri

Publisher: Springer Nature

Published: 2021-07-23

Total Pages: 183

ISBN-13: 3030770443

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This book introduces the space community to the novel SpaceFibre protocol, developed under the guidance of the European Space Agency (ESA) as the forthcoming, high speed (Gbps) communication protocol for satellite on-board communication. Since SpaceFibre is expected to follow the success of its predecessor SpaceWire protocol (Mbps), the authors provide a system-level perspective for the end-user willing to adopt this latest technology for future space missions. The authors provide a complete view of the SpaceFibre protocol, together with an analysis of all the necessary hardware and software components to integrate this technology onboard a satellite. The text guides potential system adopters toward understanding the protocol, analyzing strengths, weaknesses and performances. Practical design examples and prototype performance measurements in reference scenarios are also included.

Hyperspectral Image Analysis
Hyperspectral Image Analysis

Author: Saurabh Prasad

Publisher: Springer Nature

Published: 2020-04-27

Total Pages: 464

ISBN-13: 3030386171

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This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

Digital TV and Wireless Multimedia Communication
Digital TV and Wireless Multimedia Communication

Author: Guangtao Zhai

Publisher: Springer Nature

Published: 2020-02-15

Total Pages: 431

ISBN-13: 9811533415

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This book presents revised selected papers from the 16th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2019, held in Shanghai, China, in September 2019. The 34 full papers presented in this volume were carefully reviewed and selected from 120 submissions. They were organized in topical sections on image processing; machine learning; quality assessment; telecommunications; video surveillance; virtual reality.

Remote Sensing of Soil and Land Surface Processes
Remote Sensing of Soil and Land Surface Processes

Author: Assefa Melesse

Publisher: Elsevier

Published: 2023-10-31

Total Pages: 468

ISBN-13: 0443153426

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Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes. - Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping - Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies - Includes the use of new sensors and their applications to soils and sediment characterization - Includes case studies from a variety of geographical areas

Innovations in Smart Cities Applications Volume 5
Innovations in Smart Cities Applications Volume 5

Author: Mohamed Ben Ahmed

Publisher: Springer Nature

Published: 2022-03-03

Total Pages: 1117

ISBN-13: 3030941914

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This book sets the innovative research contributions, works, and solutions for almost all the intelligent and smart applications in the smart cities. The smart city concept is a relevant topic for industrials, governments, and citizens. Due to this, the smart city, considered as a multi-domain context, attracts tremendously academics researchers and practitioners who provide efforts in theoretical proofs, approaches, architectures, and in applied researches. The importance of smart cities comes essentially from the significant growth of populations in the near future which conducts to a real need of smart applications that can support this evolution in the future cities. The main scope of this book covers new and original ideas for the next generations of cities using the new technologies. The book involves the application of the data science and AI, IoT technologies and architectures, smart earth and water management, smart education and E-learning systems, smart modeling systems, smart mobility, and renewable energy. It also reports recent research works on big data technologies, image processing and recognition systems, and smart security and privacy.

Spatial Modeling in Forest Resources Management
Spatial Modeling in Forest Resources Management

Author: Pravat Kumar Shit

Publisher: Springer Nature

Published: 2020-10-08

Total Pages: 675

ISBN-13: 3030565424

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This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.