Download or read book Computer Processing of Remotely Sensed Images written by Paul M. Mather and published by John Wiley & Sons. This book was released on 2005-12-13 with total page 442 pages. 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/

Download or read book Conference on Machine Processing of Remotely Sensed Data written by and published by . This book was released on 1973 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Processing of Remotely Sensed Data written by I. M. Tendam and published by . This book was released on 1979 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Conference on Machine Processing Remotely Sensed Data written by and published by . This book was released on 1973 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Annual Symposium on Machine Processing of Remotely Sensed Data written by and published by . This book was released on 1977 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Symposium on Machine Processing of Remotely Sensed Data written by and published by . This book was released on 1977 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Symposium on Machine Processing of Remotely Sensed Data June 3 5 1975 the Laboratory for Applications of Remote Sensing Purdue University West Lafayette Indiana written by and published by . This book was released on 1975 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings Symposium on Machine Processing of Remotely Sensed Data written by and published by . This book was released on 1985 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Processing of Remotely Sensed Data written by and published by . This book was released on 1980 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Earth Resources written by and published by . This book was released on 1983 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Processing of Remotely Sensed Data written by P. G. Burroff and published by . This book was released on 1981 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Processing of Remotely Sensed Data written by S. K. Mengel and published by . This book was released on 1985 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Remote Sensing for Environmental Sciences written by E. Schanda and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: The public's serious concern about the uncertainties and dangers of the conse quences of human activities on environmental quality demands policies to control the situation and to prevent its deterioration. But far-reaching decisions on the environmental policy are impaired or even made impossible as long as the relevant ecological relations are not sufficiently understood and large-scale quantitative information on the most important parameters is not available in sufficient quality and quantity. The techniques of remote sensing offer new ways of procuring data on natural phenomena with three main advantages - the large distance between sensor and object prevents interference with the environmental conditions to be measured, - the potentiality for large-scale and even global surveys yields a new dimension for the investigations of the environmental parameters, - the extremely wide, spectral range covered by the whole diversity of sensors discloses many properties of the environmental media not detectable within a single wave band (as e.g. the visible). These significant additions to the conventional methods of environmental studies and the particular qualification of several remote sensing methods for quantitative determination of the natural parameters makes this new investigation technique an important tool both to the scientists studying the ecological relationship and the administration in charge of the environmental planning and protection.

Download or read book Sixth Annual Symposium Machine Processing of Remotely Sensed Data and Soil Information Systems and Remote Sensing and Soil Survey written by P. G. Burroff and published by . This book was released on 1980 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Kernel Methods for Remote Sensing Data Analysis written by Gustau Camps-Valls and published by John Wiley & Sons. This book was released on 2009-09-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.

Download or read book Classification Methods for Remotely Sensed Data written by Paul Mather and published by CRC Press. This book was released on 2001-12-06 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. The 1990s saw the development of a range of new methods of classifying remote sensing images and data, both optical imaging and microwave imaging. This comprehensive survey of the various techniques pul

Download or read book First Comprehensive Symposium on the Practical Application of Earth Resources Survey Data Special session presentations Plenary written by and published by . This book was released on 1975 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: