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Computer Processing of Remotely-Sensed Images

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Release : 2005-12-13
Genre : Science
Kind : eBook
Book Rating : 012/5 ( reviews)

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Book Synopsis Computer Processing of Remotely-Sensed Images by : Paul M. Mather

Download or read book Computer Processing of Remotely-Sensed Images written by Paul M. Mather. This book was released on 2005-12-13. Available in PDF, EPUB and Kindle. Book excerpt: Remotely-sensed images of the Earth's surface provide a valuable source of information about the geographical distribution and properties of natural and cultural features. This fully revised and updated edition of a highly regarded textbook deals with the mechanics of processing remotely-senses images. Presented in an accessible manner, the book covers a wide range of image processing and pattern recognition techniques. Features include: New topics on LiDAR data processing, SAR interferometry, the analysis of imaging spectrometer image sets and the use of the wavelet transform. An accompanying CD-ROM with: updated MIPS software, including modules for standard procedures such as image display, filtering, image transforms, graph plotting, import of data from a range of sensors. A set of exercises, including data sets, illustrating the application of discussed methods using the MIPS software. An extensive list of WWW resources including colour illustrations for easy download. For further information, including exercises and latest software information visit the Author's Website at: http://homepage.ntlworld.com/paul.mather/ComputerProcessing3/

Digital Image Processing of Remotely Sensed Data

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Release : 1982-01-01
Genre : Science
Kind : eBook
Book Rating : 355/5 ( reviews)

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Book Synopsis Digital Image Processing of Remotely Sensed Data by : R.M. Hord

Download or read book Digital Image Processing of Remotely Sensed Data written by R.M. Hord. This book was released on 1982-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Digital Image Processing of Remotely Sensed Data presents a practical approach to digital image processing of remotely sensed data, with emphasis on application examples and algorithms. It explains where to get the data and what is available and what preprocessing is needed to prepare the imagery for processing. Research topics are described to indicate the limitations of computer methods. This book is comprised of seven chapters and begins with a summary of basic concepts used in remote sensing and digital imagery, followed by a discussion on sources of remotely sensed data. Two essential hardware ingredients in a digital image processing system, a computer and a display device, are then considered, along with the algorithms used in digital image processing. Examples of how digital image processing algorithms have been applied to real imagery for specific objectives are given, including the Kentucky water impoundment experiment and the land-use mapping initiative in Washington, D.C. The next section is devoted to research topics such as digital image shape detection; edge detection and regionalized terrain classification from satellite photography; and digital image enhancement for maximum interpretability using linear programming. This monograph will be of value to professional regional planners, natural resource managers, and others in fields ranging from hydrology and forestry to agronomy and geology.

Remote Sensing Digital Image Analysis

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Release : 2013-04-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 624/5 ( reviews)

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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. This book was released on 2013-04-17. Available in PDF, EPUB and Kindle. Book excerpt: With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.

Introductory Digital Image Processing

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Release : 2005
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Introductory Digital Image Processing by : John R. Jensen

Download or read book Introductory Digital Image Processing written by John R. Jensen. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This revision of Introductory Digital Image Processing: A Remote Sensing Perspective continues to focus on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

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Release : 2004-08-12
Genre : Computers
Kind : eBook
Book Rating : 681/5 ( reviews)

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Book Synopsis Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by : Pramod K. Varshney

Download or read book Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data written by Pramod K. Varshney. This book was released on 2004-08-12. Available in PDF, EPUB and Kindle. Book excerpt: The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

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