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Neurocomputation In Remote Sensing Data Analysis
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Author :Ioannis Kanellopoulos Publisher :Springer Science & Business Media ISBN 13 :3642590411 Total Pages :292 pages Book Rating :4.6/5 (425 download)
Book Synopsis Neurocomputation in Remote Sensing Data Analysis by : Ioannis Kanellopoulos
Download or read book Neurocomputation in Remote Sensing Data Analysis written by Ioannis Kanellopoulos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A state-of-the-art view of recent developments in the use of artificial neural networks for analysing remotely sensed satellite data. Neural networks, as a new form of computational paradigm, appear well suited to many of the tasks involved in this image analysis. This book demonstrates a wide range of uses of neural networks for remote sensing applications and reports the views of a large number of European experts brought together as part of a concerted action supported by the European Commission.
Book Synopsis Neural Networks for Hydrological Modeling by : Robert Abrahart
Download or read book Neural Networks for Hydrological Modeling written by Robert Abrahart and published by CRC Press. This book was released on 2004-05-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling. The b
Book Synopsis Classification Methods for Remotely Sensed Data by : Paul Mather
Download or read book Classification Methods for Remotely Sensed Data written by Paul Mather and published by CRC Press. This book was released on 2016-04-19 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in
Book Synopsis Classification Methods for Remotely Sensed Data by : Taskin Kavzoglu
Download or read book Classification Methods for Remotely Sensed Data written by Taskin Kavzoglu and published by CRC Press. This book was released on 2024-09-04 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods. New in this edition: Provides comprehensive background on the theory of deep learning and its application to remote sensing data. Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications. Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies. Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models. This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.
Book Synopsis Computer Processing of Remotely-Sensed Images by : Paul M. Mather
Download or read book Computer Processing of Remotely-Sensed Images written by Paul M. Mather and published by John Wiley & Sons. This book was released on 2022-04-11 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Processing of Remotely-Sensed Images A thorough introduction to computer processing of remotely-sensed images, processing methods, and applications Remote sensing is a crucial form of measurement that allows for the gauging of an object or space without direct physical contact, allowing for the assessment and recording of a target under conditions which would normally render access difficult or impossible. This is done through the analysis and interpretation of electromagnetic radiation (EMR) that is reflected or emitted by an object, surveyed and recorded by an observer or instrument that is not in contact with the target. This methodology is particularly of importance in Earth observation by remote sensing, wherein airborne or satellite-borne instruments of EMR provide data on the planet’s land, seas, ice, and atmosphere. This permits scientists to establish relationships between the measurements and the nature and distribution of phenomena on the Earth’s surface or within the atmosphere. Still relying on a visual and conceptual approach to the material, the fifth edition of this successful textbook provides students with methods of computer processing of remotely sensed data and introduces them to environmental applications which make use of remotely-sensed images. The new edition’s content has been rearranged to be more clearly focused on image processing methods and applications in remote sensing with new examples, including material on the Copernicus missions, microsatellites and recently launched SAR satellites, as well as time series analysis methods. The fifth edition of Computer Processing of Remotely-Sensed Images also contains: A cohesive presentation of the fundamental components of Earth observation remote sensing that is easy to understand and highly digestible Largely non-technical language providing insights into more advanced topics that may be too difficult for a non-mathematician to understand Illustrations and example boxes throughout the book to illustrate concepts, as well as revised examples that reflect the latest information References and links to the most up-to-date online and open access sources used by students Computer Processing of Remotely-Sensed Images is a highly insightful textbook for advanced undergraduates and postgraduate students taking courses in remote sensing and GIS in Geography, Geology, and Earth & Environmental Science departments.
Book Synopsis Kernel Methods for Remote Sensing Data Analysis by : Gustau Camps-Valls
Download or read book Kernel Methods for Remote Sensing Data Analysis written by Gustau Camps-Valls and published by John Wiley & Sons. This book was released on 2009-09-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.
Book Synopsis Ecological Informatics by : Friedrich Recknagel
Download or read book Ecological Informatics written by Friedrich Recknagel and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery.
Author :Ioannis Kanellopoulos Publisher :Springer Science & Business Media ISBN 13 :3642601057 Total Pages :339 pages Book Rating :4.6/5 (426 download)
Book Synopsis Machine Vision and Advanced Image Processing in Remote Sensing by : Ioannis Kanellopoulos
Download or read book Machine Vision and Advanced Image Processing in Remote Sensing written by Ioannis Kanellopoulos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.
Book Synopsis Recent Developments in Spatial Analysis by : Manfred M Fischer
Download or read book Recent Developments in Spatial Analysis written by Manfred M Fischer and published by Springer Science & Business Media. This book was released on 1997-08-19 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, spatial analysis has become an increasingly active field, as evidenced by the establishment of educational and research programs at many universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some recent developments in spatial analysis, behavioural modelling, and computational intelligence. World renown spatial analysts explain and demonstrate their new and insightful models and methods. The applications are in areas of societal interest such as the spread of infectious diseases, migration behaviour, and retail and agricultural location strategies. In addition, there is emphasis on the uses of new technologoies for the analysis of spatial data through the application of neural network concepts.
Book Synopsis GeoComputational Modelling by : Manfred M. Fischer
Download or read book GeoComputational Modelling written by Manfred M. Fischer and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the field. It provides important insights into this new and rapidly developing field and attempts to establish the principles, and to develop techniques for solving real world problems in a wide array of application domains with a catalyst to greater understanding of what geocomputation is and what it entails. The broad coverage makes it invaluable reading for resarchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science.
Book Synopsis Growth Hormone And The Heart by : Andrea Giustina
Download or read book Growth Hormone And The Heart written by Andrea Giustina and published by Springer Science & Business Media. This book was released on 2000-11-30 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Growth Hormone and the Heart endeavors to bring together knowledge that has been accumulated in the area of GH and the heart, from basic to clinical studies, by research groups working on this topic throughout the world. Lessons from different experimental models and from several human diseases (acromegaly, adult GH deficiency, heart failure) suggest to endocrinologists and cardiologists that GH may not only have a role in the physiology and pathophysiology of heart function, but that GH itself may have a place in the treatment of primary heart diseases (such as dilated cardiomyopathy) or of cardiac complications of hypopituitarism. Growth Hormone and the Heart will be a useful update of the research produced in the field of cardiovascular endocrinology. The Editors also hope that this book will serve as the primary step in the recognition of the wide physiological and clinical significance of GH and heart interactions.
Book Synopsis Advances in Neural Networks - ISNN 2009 by : Wen Yu
Download or read book Advances in Neural Networks - ISNN 2009 written by Wen Yu and published by Springer. This book was released on 2009-05-20 with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.
Book Synopsis Advances in Remote Sensing and GIS Analysis by : Peter M. Atkinson
Download or read book Advances in Remote Sensing and GIS Analysis written by Peter M. Atkinson and published by John Wiley & Sons. This book was released on 1999-09-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative and state-of-the-art book bringing together some of the most recent developments in remote sensing and GIS analysis with a particular emphasis on mathematical techniques and their applications. With contributions from academia, industry and research institutes, all with a high standing, this book covers a range of techniques including: fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization, texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling. This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments, and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases, the mathematical basis is fully explained.
Download or read book Evolving Cities written by Lidia Diappi and published by Routledge. This book was released on 2017-03-02 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and new data gathering and earth observing technologies - has taken GIS beyond mere data and towards its analysis, modeling, and use in problem solving. Geocomputation is now at the dynamic edge of this revolution. Bringing together the leading researchers in geocomputation, this volume provides an up-to-date overview of the development of new artificial intelligence principles and technologies (NN, CA, Multi-agent Systems and Evolutionary Algorithms) used for the analysis, development and evaluation of urban planning policies and programmes. Charting the new approaches to data-processing, the book provides pointers on how to harness these technologies, advancing the knowledge level of planning by multiplying the information capacity of GIS, and offering a new approach to territorial modeling and micro-scale descriptions of socio-economic, behavioural and micro-spatial theories of urban processes and land use change.
Book Synopsis Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation by :
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation written by and published by . This book was released on 1999 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neural Nets WIRN VIETRI-96 by : Maria Marinaro
Download or read book Neural Nets WIRN VIETRI-96 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers from WIRN VIETRI-96, the 8th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 23-25 May 1996. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluable contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-96 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Book Synopsis Classification Methods for Remotely Sensed Data, Second Edition by : Brandt Tso
Download or read book Classification Methods for Remotely Sensed Data, Second Edition written by Brandt Tso and published by CRC Press. This book was released on 2009-05-12 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keeping abreast of new developments, this new edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. It provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees.
