Computer Processing of Remotely-Sensed Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Processing of Remotely-Sensed Images write by Paul M. Mather. This book was released on 2005-12-13. Computer Processing of Remotely-Sensed Images available in PDF, EPUB and Kindle. 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/
Computer Processing of Remotely-Sensed Images
Computer Processing of Remotely-Sensed Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Processing of Remotely-Sensed Images write by Paul M. Mather. This book was released on 2004-06-25. Computer Processing of Remotely-Sensed Images available in PDF, EPUB and Kindle. Remotely-sensed images of the Earth provide information about the geographical distribution of natural and cultural features, as well as a record of changes in environmental conditions over time. This text offers technical guidance to those involved in processing and classifying such data.
Computer Processing of Remotely-Sensed Images
Computer Processing of Remotely-Sensed Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Processing of Remotely-Sensed Images write by Paul M. Mather. This book was released on 2004-06-28. Computer Processing of Remotely-Sensed Images available in PDF, EPUB and Kindle. Remotely-sensed images of the Earth provide information about the geographical distribution of natural and cultural features, as well as a record of changes in environmental conditions over time. This text offers technical guidance to those involved in processing and classifying such data.
Computer Processing of Remotely-Sensed Images
Computer Processing of Remotely-Sensed Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Processing of Remotely-Sensed Images write by Paul M. Mather. This book was released on 2011-07-28. Computer Processing of Remotely-Sensed Images available in PDF, EPUB and Kindle. This fourth and full colour edition updates and expands a widely-used textbook aimed at advanced undergraduate and postgraduate students taking courses in remote sensing and GIS in Geography, Geology and Earth/Environmental Science departments. Existing material has been brought up to date and new material has been added. In particular, a new chapter, exploring the two-way links between remote sensing and environmental GIS, has been added. New and updated material includes: A website at www.wiley.com/go/mather4 that provides access to an updated and expanded version of the MIPS image processing software for Microsoft Windows, PowerPoint slideshows of the figures from each chapter, and case studies, including full data sets, Includes new chapter on Remote Sensing and Environmental GIS that provides insights into the ways in which remotely-sensed data can be used synergistically with other spatial data sets, including hydrogeological and archaeological applications, New section on image processing from a computer science perspective presented in a non-technical way, including some remarks on statistics, New material on image transforms, including the analysis of temporal change and data fusion techniques, New material on image classification including decision trees, support vector machines and independent components analysis, and Now in full colour throughout. This book provides the material required for a single semester course in Environmental Remote Sensing plus additional, more advanced, reading for students specialising in some aspect of the subject. It is written largely in non-technical language yet it provides insights into more advanced topics that some may consider too difficult for a non-mathematician to understand. The case studies available from the website are fully-documented research projects complete with original data sets. For readers who do not have access to commercial image processing software, MIPS provides a licence-free, intuitive and comprehensive alternative.
Computer Processing of Remotely-Sensed Images
Computer Processing of Remotely-Sensed Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Processing of Remotely-Sensed Images write by Paul M. Mather. This book was released on 2022-04-11. Computer Processing of Remotely-Sensed Images available in PDF, EPUB and Kindle. Computer Processing of Remotely-Sensed Images A thorough introduction to computer processing of remotely-sensed images, processing methods, and applications Remote sensing is a crucial form of measurement that allows for the gauging of an object or space without direct physical contact, allowing for the assessment and recording of a target under conditions which would normally render access difficult or impossible. This is done through the analysis and interpretation of electromagnetic radiation (EMR) that is reflected or emitted by an object, surveyed and recorded by an observer or instrument that is not in contact with the target. This methodology is particularly of importance in Earth observation by remote sensing, wherein airborne or satellite-borne instruments of EMR provide data on the planet’s land, seas, ice, and atmosphere. This permits scientists to establish relationships between the measurements and the nature and distribution of phenomena on the Earth’s surface or within the atmosphere. Still relying on a visual and conceptual approach to the material, the fifth edition of this successful textbook provides students with methods of computer processing of remotely sensed data and introduces them to environmental applications which make use of remotely-sensed images. The new edition’s content has been rearranged to be more clearly focused on image processing methods and applications in remote sensing with new examples, including material on the Copernicus missions, microsatellites and recently launched SAR satellites, as well as time series analysis methods. The fifth edition of Computer Processing of Remotely-Sensed Images also contains: A cohesive presentation of the fundamental components of Earth observation remote sensing that is easy to understand and highly digestible Largely non-technical language providing insights into more advanced topics that may be too difficult for a non-mathematician to understand Illustrations and example boxes throughout the book to illustrate concepts, as well as revised examples that reflect the latest information References and links to the most up-to-date online and open access sources used by students Computer Processing of Remotely-Sensed Images is a highly insightful textbook for advanced undergraduates and postgraduate students taking courses in remote sensing and GIS in Geography, Geology, and Earth & Environmental Science departments.
