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Author: Morton J. Canty Publisher: CRC Press ISBN: 1420087142 Category : Technology & Engineering Languages : en Pages : 474
Book Description
Demonstrating the breadth and depth of growth in the field since the publication of the popular first edition, Image Analysis, Classification and Change Detection in Remote Sensing, with Algorithms for ENVI/IDL, Second Edition has been updated and expanded to keep pace with the latest versions of the ENVI software environment. Effectively interweaving theory, algorithms, and computer codes, the text supplies an accessible introduction to the techniques used in the processing of remotely sensed imagery. This significantly expanded edition presents numerous image analysis examples and algorithms, all illustrated in the array-oriented language IDL—allowing readers to plug the illustrations and applications covered in the text directly into the ENVI system—in a completely transparent fashion. Revised chapters on image arrays, linear algebra, and statistics convey the required foundation, while updated chapters detail kernel methods for principal component analysis, kernel-based clustering, and classification with support vector machines. Additions to this edition include: An introduction to mutual information and entropy Algorithms and code for image segmentation In-depth treatment of ensemble classification (adaptive boosting ) Improved IDL code for all ENVI extensions, with routines that can take advantage of the parallel computational power of modern graphics processors Code that runs on all versions of the ENVI/IDL software environment from ENVI 4.1 up to the present—available on the author's website Many new end-of-chapter exercises and programming projects With its numerous programming examples in IDL and many applications supporting ENVI, such as data fusion, statistical change detection, clustering and supervised classification with neural networks—all available as downloadable source code—this self-contained text is ideal for classroom use or self study.
Author: Morton J. Canty Publisher: CRC Press ISBN: 1420087142 Category : Technology & Engineering Languages : en Pages : 474
Book Description
Demonstrating the breadth and depth of growth in the field since the publication of the popular first edition, Image Analysis, Classification and Change Detection in Remote Sensing, with Algorithms for ENVI/IDL, Second Edition has been updated and expanded to keep pace with the latest versions of the ENVI software environment. Effectively interweaving theory, algorithms, and computer codes, the text supplies an accessible introduction to the techniques used in the processing of remotely sensed imagery. This significantly expanded edition presents numerous image analysis examples and algorithms, all illustrated in the array-oriented language IDL—allowing readers to plug the illustrations and applications covered in the text directly into the ENVI system—in a completely transparent fashion. Revised chapters on image arrays, linear algebra, and statistics convey the required foundation, while updated chapters detail kernel methods for principal component analysis, kernel-based clustering, and classification with support vector machines. Additions to this edition include: An introduction to mutual information and entropy Algorithms and code for image segmentation In-depth treatment of ensemble classification (adaptive boosting ) Improved IDL code for all ENVI extensions, with routines that can take advantage of the parallel computational power of modern graphics processors Code that runs on all versions of the ENVI/IDL software environment from ENVI 4.1 up to the present—available on the author's website Many new end-of-chapter exercises and programming projects With its numerous programming examples in IDL and many applications supporting ENVI, such as data fusion, statistical change detection, clustering and supervised classification with neural networks—all available as downloadable source code—this self-contained text is ideal for classroom use or self study.
Author: Richard O. Duda Publisher: John Wiley & Sons ISBN: 111858600X Category : Technology & Engineering Languages : en Pages : 680
Book Description
The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics such as neural networks andstatistical pattern recognition, the theory of machine learning,and the theory of invariances. Also included are worked examples,comparisons between different methods, extensive graphics, expandedexercises and computer project topics. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.
Author: Marc Peter Deisenroth Publisher: Cambridge University Press ISBN: 1108569323 Category : Computers Languages : en Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Publisher: ISBN: Category : Languages : en Pages : 236
Book Description
Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.
Author: Kota Miura Publisher: Springer Nature ISBN: 3030223868 Category : Medical Languages : en Pages : 178
Book Description
This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.
Author: Stephen P. Boyd Publisher: Cambridge University Press ISBN: 9780521833783 Category : Business & Economics Languages : en Pages : 744
Book Description
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Author: Morton J. Canty
Author: Morton J. Canty
Author: Richard O. Duda
Author: Marc Peter Deisenroth
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Author: Milan Sonka
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Author: Kota Miura
Author: Stephen P. Boyd