Computational Intelligence In Remote Sensing

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Computational Intelligence for Remote Sensing

Author : Manuel Grana
Publisher : Springer Science & Business Media
ISBN 13 : 3540793526
Total Pages : 397 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence for Remote Sensing by : Manuel Grana

Download or read book Computational Intelligence for Remote Sensing written by Manuel Grana and published by Springer Science & Business Media. This book was released on 2008-06-05 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.

Artificial Intelligence Techniques for Satellite Image Analysis

Author : D. Jude Hemanth
Publisher : Springer Nature
ISBN 13 : 3030241785
Total Pages : 277 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Artificial Intelligence Techniques for Satellite Image Analysis by : D. Jude Hemanth

Download or read book Artificial Intelligence Techniques for Satellite Image Analysis written by D. Jude Hemanth and published by Springer Nature. This book was released on 2019-11-13 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.

Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation

Author : Maria Pia Del Rosso
Publisher : IET
ISBN 13 : 1839532122
Total Pages : 283 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation by : Maria Pia Del Rosso

Download or read book Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation written by Maria Pia Del Rosso and published by IET. This book was released on 2021-09-14 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS

Author : Chang-Wook Lee
Publisher : Mdpi AG
ISBN 13 : 9783036516042
Total Pages : 166 pages
Book Rating : 4.5/5 (16 download)

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Book Synopsis Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS by : Chang-Wook Lee

Download or read book Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS written by Chang-Wook Lee and published by Mdpi AG. This book was released on 2021-11-11 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Remote Sensing Image Processing

Author : Gustavo Camps-Valls
Publisher : Springer Nature
ISBN 13 : 3031022475
Total Pages : 242 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Remote Sensing Image Processing by : Gustavo Camps-Valls

Download or read book Remote Sensing Image Processing written by Gustavo Camps-Valls and published by Springer Nature. This book was released on 2022-06-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Artificial Neural Networks and Evolutionary Computation in Remote Sensing

Author : Taskin Kavzoglu
Publisher : MDPI
ISBN 13 : 3039438271
Total Pages : 256 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Artificial Neural Networks and Evolutionary Computation in Remote Sensing by : Taskin Kavzoglu

Download or read book Artificial Neural Networks and Evolutionary Computation in Remote Sensing written by Taskin Kavzoglu and published by MDPI. This book was released on 2021-01-19 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks (ANNs) and evolutionary computation methods have been successfully applied in remote sensing applications since they offer unique advantages for the analysis of remotely-sensed images. ANNs are effective in finding underlying relationships and structures within multidimensional datasets. Thanks to new sensors, we have images with more spectral bands at higher spatial resolutions, which clearly recall big data problems. For this purpose, evolutionary algorithms become the best solution for analysis. This book includes eleven high-quality papers, selected after a careful reviewing process, addressing current remote sensing problems. In the chapters of the book, superstructural optimization was suggested for the optimal design of feedforward neural networks, CNN networks were deployed for a nanosatellite payload to select images eligible for transmission to ground, a new weight feature value convolutional neural network (WFCNN) was applied for fine remote sensing image segmentation and extracting improved land-use information, mask regional-convolutional neural networks (Mask R-CNN) was employed for extracting valley fill faces, state-of-the-art convolutional neural network (CNN)-based object detection models were applied to automatically detect airplanes and ships in VHR satellite images, a coarse-to-fine detection strategy was employed to detect ships at different sizes, and a deep quadruplet network (DQN) was proposed for hyperspectral image classification.

Recent Trends in Computational Intelligence Enabled Research

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Recent Trends in Computational Intelligence Enabled Research by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. - Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques - Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Deep Learning for the Earth Sciences

Author : Gustau Camps-Valls
Publisher : John Wiley & Sons
ISBN 13 : 1119646162
Total Pages : 436 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Deep Learning for the Earth Sciences by : Gustau Camps-Valls

Download or read book Deep Learning for the Earth Sciences written by Gustau Camps-Valls and published by John Wiley & Sons. This book was released on 2021-08-18 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.

Computational Intelligence and Intelligent Systems

Author : Zhenhua Li
Publisher : Springer Science & Business Media
ISBN 13 : 3642049613
Total Pages : 496 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computational Intelligence and Intelligent Systems by : Zhenhua Li

Download or read book Computational Intelligence and Intelligent Systems written by Zhenhua Li and published by Springer Science & Business Media. This book was released on 2009-10-05 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes CCIS 51 and LNCS 5812 constitute the proceedings of the Fourth Interational Symposium on Intelligence Computation and Applications, ISICA 2009, held in Huangshi, China, during October 23-25. ISICA 2009 attracted over 300 submissions. Through rigorous reviews, 58 papers were included in LNCS 5821,and 54 papers were collected in CCIS 51. ISICA conferences are one of the first series of international conferences on computational intelligence that combine elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to artificial intelligence.

Image Registration for Remote Sensing

Author : Jacqueline Le Moigne
Publisher : Cambridge University Press
ISBN 13 : 1139494376
Total Pages : 515 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Image Registration for Remote Sensing by : Jacqueline Le Moigne

Download or read book Image Registration for Remote Sensing written by Jacqueline Le Moigne and published by Cambridge University Press. This book was released on 2011-03-24 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a summary of current research in the application of image registration to satellite imagery. Presenting algorithms for creating mosaics and tracking changes on the planet's surface over time, it is an indispensable resource for researchers and advanced students in Earth and space science, and image processing.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
ISBN 13 : 3642880878
Total Pages : 372 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Remote Sensing Digital Image Analysis by : John A. Richards

Download or read book Remote Sensing Digital Image Analysis written by John A. Richards and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Possibly the greatest change confronting the practitioner and student of remote sensing in the period since the first edition of this text appeared in 1986 has been the enormous improvement in accessibility to image processing technology. Falling hardware and software costs, combined with an increase in functionality through the development of extremely versatile user interfaces, has meant that even the user unskilled in computing now has immediate and ready access to powerful and flexible means for digital image analysis and enhancement. An understanding, at algorithmic level, of the various methods for image processing has become therefore even more important in the past few years to ensure the full capability of digital image processing is utilised. This period has also been a busy one in relation to digital data supply. Several nations have become satellite data gatherers and providers, using both optical and microwave technology. Practitioners and researchers are now faced, therefore, with the need to be able to process imagery from several sensors, together with other forms of spatial data. This has been driven, to an extent, by developments in Geographic Information Systems (GIS) which, in tum, have led to the appearance of newer image processing procedures as adjuncts to more traditional approaches.

Computational Intelligence in Archaeology

Author : Barcelo, Juan A.
Publisher : IGI Global
ISBN 13 : 1599044919
Total Pages : 436 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Computational Intelligence in Archaeology by : Barcelo, Juan A.

Download or read book Computational Intelligence in Archaeology written by Barcelo, Juan A. and published by IGI Global. This book was released on 2008-07-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides analytical theories offered by innovative artificial intelligence computing methods in the archaeological domain.

Applications of Computational Intelligence in Multi-Disciplinary Research

Author : Ahmed A. Elngar
Publisher : Academic Press
ISBN 13 : 0128241764
Total Pages : 222 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Computational Intelligence in Multi-Disciplinary Research by : Ahmed A. Elngar

Download or read book Applications of Computational Intelligence in Multi-Disciplinary Research written by Ahmed A. Elngar and published by Academic Press. This book was released on 2022-02-14 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. - Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods - Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques - Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

Big Data Analytics for Sustainable Computing

Author : Haldorai, Anandakumar
Publisher : IGI Global
ISBN 13 : 1522597522
Total Pages : 285 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Big Data Analytics for Sustainable Computing by : Haldorai, Anandakumar

Download or read book Big Data Analytics for Sustainable Computing written by Haldorai, Anandakumar and published by IGI Global. This book was released on 2019-09-20 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Quantitative Analysis of Mineral and Energy Resources

Author : C.F. Chung
Publisher : Springer
ISBN 13 : 9789401082884
Total Pages : 738 pages
Book Rating : 4.0/5 (828 download)

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Book Synopsis Quantitative Analysis of Mineral and Energy Resources by : C.F. Chung

Download or read book Quantitative Analysis of Mineral and Energy Resources written by C.F. Chung and published by Springer. This book was released on 2011-10-19 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on "Statistical Treatments for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on "Quantitative Resource Evaluation" and a three-day workshop on "Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation" were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not only a multitude of research projects directed toward quantitative analysis in the Earth Sciences, but also recent advances in hardware and software technology, such as high-resolution graphics, data-base management systems and statistical packages on mini and micro-computers, made it possible to study large geoscience data sets. In addition, methods of image analysis have been utilized to capture data in digital form and to supply a variety of tools for charaterizing natural phenomena.

Computational Intelligence for Pattern Recognition

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319896296
Total Pages : 431 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Computational Intelligence for Pattern Recognition by : Witold Pedrycz

Download or read book Computational Intelligence for Pattern Recognition written by Witold Pedrycz and published by Springer. This book was released on 2018-04-30 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.

Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016)

Author : Hui Yang
Publisher : #N/A
ISBN 13 : 9813206837
Total Pages : 845 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) by : Hui Yang

Download or read book Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) written by Hui Yang and published by #N/A. This book was released on 2017-06-28 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.