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| Author | : Chen Hao |
| Publisher | : |
| Total Pages | : 144 |
| Release | : 2002 |
| Genre | : |
| ISBN | : |
| Author | : Chi Hau Chen |
| Publisher | : World Scientific |
| Total Pages | : 629 |
| Release | : 2003-07-07 |
| Genre | : Technology & Engineering |
| ISBN | : 9814486183 |
Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination.In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas.
| Author | : Gabriele Moser |
| Publisher | : Springer |
| Total Pages | : 446 |
| Release | : 2017-11-28 |
| Genre | : Technology & Engineering |
| ISBN | : 3319663305 |
This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.
| Author | : Paul Mather |
| Publisher | : CRC Press |
| Total Pages | : 358 |
| Release | : 2001-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9780203303566 |
Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. The 1990s saw the development of a range of new methods of classifying remote sensing images and data, both optical imaging and microwave imaging. This comprehensive survey of the various techniques pul
| Author | : Pei-Gee Ho |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 554 |
| Release | : 2011-04-19 |
| Genre | : Computers |
| ISBN | : 9533072288 |
It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this book such as level set, active contour, AR time series image modeling, Support Vector Machines, Pixon based image segmentations, region similarity metric based technique, statistical ANN and JSEG algorithm were written in details. This book brings together many different aspects of the current research on several fields associated to digital image segmentation. Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation. The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study.
| Author | : |
| Publisher | : |
| Total Pages | : 780 |
| Release | : 2002 |
| Genre | : Earth sciences |
| ISBN | : |
| Author | : Taskin Kavzoglu |
| Publisher | : CRC Press |
| Total Pages | : 444 |
| Release | : 2024-09-04 |
| Genre | : Technology & Engineering |
| ISBN | : 104009905X |
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.
| Author | : Prasad Thenkabail |
| Publisher | : CRC Press |
| Total Pages | : 2304 |
| Release | : 2018-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1482282674 |
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso
| Author | : Guangtao Zhai |
| Publisher | : Springer Nature |
| Total Pages | : 431 |
| Release | : 2020-02-15 |
| Genre | : Computers |
| ISBN | : 9811533415 |
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.
| Author | : C.H. Chen |
| Publisher | : CRC Press |
| Total Pages | : 691 |
| Release | : 2006-10-09 |
| Genre | : Technology & Engineering |
| ISBN | : 1420003135 |
Most data from satellites are in image form, thus most books in the remote sensing field deal exclusively with image processing. However, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. Pioneering the combination of the two processes, Signal and Image Processing for Re
