remote sensing applications ed by boris escalante ramirez

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Signal And Image Processing For Remote Sensing Second Edition

Author : C.H. Chen
ISBN : 9781439855973
Genre : Technology & Engineering
File Size : 61. 33 MB
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Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include: Compressive sensing The mixed pixel problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification of hyperspectral data Wavelet-based multi/hyperspectral image restoration and fusion The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).

Remote Sensing Applications In Environmental Research

Author : Prashant K Srivastava
ISBN : 9783319059068
Genre : Science
File Size : 41. 61 MB
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Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research. Now that there are a number of satellites in orbit, EO has become imperative in today’s sciences, weather and natural disaster prediction. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models. The book offers a comprehensive range of contributions by well-known scientists from around the world and opens a new window for students in presenting interdisciplinary and methodological resources on the latest research. It explores various key aspects and offers state-of-the-art research in a simplified form, describing remote sensing and GIS studies for those who are new to the field, as well as for established researchers.

Android Ui Fundamentals

Author : Jason Ostrander
ISBN : 9780132929028
Genre : Computers
File Size : 89. 41 MB
Format : PDF, ePub
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Author Jason Ostrander walks developers through the different choices available on their way to creating a well-designed application for Android. While building a simple application, Jason works through the basics of Android UI development including layout, event handling, menus and notifications. The author then shows the proper way to load and display images, create advanced dialogs and progress indicators, add animation, and how to build custom UI elements. Jason discusses the proper way of adding interaction through gestures and the advanced graphical options available using Canvas, Renderscript and OpenGL. Finally, he discusses tablet development, the unique differences between phone and tablet UI, and the new APIs available to tablet developers.

Pattern Recognition And Machine Learning

Author : Christopher M. Bishop
ISBN : 0387310738
Genre : Computers
File Size : 55. 38 MB
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The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.

Neural Networks

Author : Simon Haykin
ISBN : 0139083855
Genre : Computers
File Size : 26. 99 MB
Format : PDF
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Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Thoroughly revised. *NEW-New chapters now cover such areas as: - Support vector machines. - Reinforcement learning/neurodynamic programming. - Dynamically driven recurrent networks. *NEW-End-of-chapter problems revised, improved and expanded in number. Detailed solutions manual to accompany the text. *Extensive, state-of-the-art coverage exposes students to the many facets of neural networks and helps them appreciate the technologys capabilities and potential applications. *Detailed analysis of back-propagation learning and multi-layer perceptrons. *Explores the intricacies of the learning process-an essential component for understanding neural networks. *Considers recurrent networks, such as Hopfield networks, Boltzmann machines, and meanfield theory machines, as well as modular networks, temporal processing, and neurodynamics. *Integrates computer experiments throughout, giving students the opportunity to see how neural networks are designed and perform in practice. *Reinforces key concepts w

Computer Organization And Design Fundamentals

Author : David L. Tarnoff
ISBN : 1411636902
Genre : Computer architecture
File Size : 77. 94 MB
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Computer Organization and Design Fundamentals takes the reader from the basic design principles of the modern digital computer to a top-level examination of its architecture. This book can serve either as a textbook to an introductory course on computer hardware or as the basic text for the aspiring geek who wants to learn about digital design. The material is presented in four parts. The first part describes how computers represent and manipulate numbers. The second part presents the tools used at all levels of binary design. The third part introduces the reader to computer system theory with topics such as memory, caches, hard drives, pipelining, and interrupts. The last part applies these theories through an introduction to the Intel 80x86 architecture and assembly language. The material is presented using practical terms and examples with an aim toward providing anyone who works with computer systems the ability to use them more effectively through a better understanding of their design.

Introduction To Data Mining

Author : Pang-Ning Tan
ISBN : 0133128903
Genre : Computers
File Size : 54. 36 MB
Format : PDF, Docs
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'Introduction to Data Mining' presents fundamental concepts and algorithms for those learning data mining. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

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