Remote Sensing, Models, and Methods for Image Processing

Author: Robert A. Schowengerdt

Publisher: Academic Press

ISBN: 9780126289817

Category: Technology & Engineering

Page: 522

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This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery. The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.
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Remote Sensing

Models and Methods for Image Processing

Author: Robert A. Schowengerdt

Publisher: Elsevier

ISBN: 9780080480589

Category: Technology & Engineering

Page: 560

View: 3680

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Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth’s surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. Remote Sensing, in its third edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards. Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever. Features a new lively discussion of the NASA EOS satellites, Terra and Aqua, and the commercial satellites IKONOS and Quickbird New larger format provides additional access to 32 PAGE - FULL COLOR plate insert and improved readability Additional data processing algorithms help connect and enhance the collective understanding of engineering design and remotely sensed data
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Remote Sensing of the Mine Environment

Author: H. Sebnem Dzgn

Publisher: CRC Press

ISBN: 1466512830

Category: Nature

Page: 220

View: 9569

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A guide for students and professionals, this introductory course book covers the basic principles of remote sensing and its applications in mine environment monitoring. Building from a reader's basic knowledge of mine monitoring, it teaches how to implement remote sensing techniques and how to interpret the acquired data for different purposes. Fol
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Environmental Applications of Remote Sensing

Author: Maged Marghany

Publisher: BoD – Books on Demand

ISBN: 9535124439

Category: Science

Page: 418

View: 8074

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Nowadays, the innovation in space technologies creates a new trend for the Earth observation and monitoring from space. This book contains high quality and compressive work on both microwave and optical remote sensing applications. This book is divided into five sections: (i) remote sensing for biomass estimation, (ii) remote sensing-based glacier studies, (iii) remote sensing for coastal and ocean applications, (iv) sewage leaks and environment disasters, and (v) remote sensing image processing. Each chapter offers an opportunity to expand the knowledge about various remote sensing techniques and persuade researchers to deliver new research novelty for environment studies.
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Remote Sensing of the Cryosphere

Author: Marco Tedesco

Publisher: John Wiley & Sons

ISBN: 111836886X

Category: Technology & Engineering

Page: 432

View: 7580

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The cryosphere, that region of the world where water istemporarily or permanently frozen, plays a crucial role on ourplanet. Recent developments in remote sensing techniques, and theacquisition of new data sets, have resulted in significant advancesin our understanding of all components of the cryosphere and itsprocesses. This book, based on contributions from 40 leading experts,offers a comprehensive and authoritative overview of the methods,techniques and recent advances in applications of remote sensing ofthe cryosphere. Examples of the topics covered include: • snow extent, depth, grain-size and impurities • surface and subsurface melting • glaciers • accumulation over the Greenland and Antarctica icesheets • ice thickness and velocities • gravimetric measurements from space • sea, lake and river ice • frozen ground and permafrost • fieldwork activities • recent and future cryosphere-oriented missions andexperiments All figures are in color and provide an excellent visualaccompaniment to the technical and scientific aspect of thebook. Readership: Senior undergraduates, Masters and PhDStudents, PostDocs and Researchers in cryosphere science and remotesensing. Remote Sensing of the Cryosphere is the significant firstvolume in the new Cryosphere Science Series. This newseries comprises volumes that are at the cutting edge of newresearch, or provide focussed interdisciplinary reviews of keyaspects of the science.
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Remote Sensing Digital Image Analysis

An Introduction

Author: John A. Richards,Xiuping Jia

Publisher: Springer Science & Business Media

ISBN: 9783540251286

Category: Computers

Page: 439

View: 7122

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Contents: Sources and Characteristics of Remote Sensing Image Data.- Error Correction and Registration of Image Data.- The Interpretation of Digital Image Data.- Radiometric Enhancement Techniques.- Geometric Enhancement Using Image Domain Techniques.- Multispectral Transformations of Image Data.- Fourier Transformation of Image Data.- Supervised Classification Techniques.- Clustering and Unsupervised Classification.- Feature Reduction.- Image Classification Methodologies.- Data Fusion.- Interpretation of Hyperspectral Image Data.- Appendices
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Classification Methods for Remotely Sensed Data, Second Edition

Author: Paul Mather,Brandt Tso

Publisher: CRC Press

ISBN: 9781420090741

Category: Technology & Engineering

Page: 376

View: 6204

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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 commercial applications as well as military ones. Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource: Presents a number of approaches to solving the problem of allocation of data to one of several classes Covers potential approaches to the use of decision trees Describes developments such as boosting and random forest generation Reviews lopping branches that do not contribute to the effectiveness of the decision trees Complete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods.
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Natural Hazard Zonation of Bihar (India) Using Geoinformatics

A Schematic Approach

Author: Tuhin Ghosh,Anirban Mukhopadhyay

Publisher: Springer Science & Business Media

ISBN: 3319044389

Category: Nature

Page: 93

View: 2341

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With increased climate variability, aggravated natural hazards in the form of extreme events are affecting the lives and livelihoods of many people. This work serves as a basis for formulating a ‘preparedness plan’ to ensure the effective policy formulation for planned development. Increased demand and competition with a high degree of variability have forced people to struggle in order to prosper. Good governance and innovative policy formulation are necessary to create a resilient society. This may promote a paradigm shift in the mindset on and perceptions of natural hazards and their impacts on development and growth. This new perspective will make people more concerned about minimizing the loss of life, property, and environmental damage and directly safeguard the development process. This book presents a detailed methodological approach to monitoring meteorological, hydrological, and climate change aspects to help resolve issues related to our environment, resources, and economies in the changing climate situation.
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