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Author : S. Rajendran
Publisher : New India Publishing
Page : 576 pages
File Size : 26,62 MB
Release : 2009
Category : Remote sensing
ISBN : 9788189422349
Contributed papers presented at the National Seminar on "Hyperspectral Remote Sensing and Spectral Signature Databse Management System," held on February 14-15, 2008 at Annamalai University.
Author : S. RAJENDRAN
Publisher :
Page : pages
File Size : 19,89 MB
Release : 2009
Category :
ISBN : 9789389992809
Author : S. Rajendran
Publisher :
Page : 0 pages
File Size : 43,15 MB
Release : 2021
Category : Remote sensing
ISBN :
The title of "hyperspectral remote sensing and spectral signature applications" is use to reflect its focus on spectral techniques, i.e. non-literal techniques that are especially designed and developed for hyperspectral imagery rather than multispectral imagery.
Author : Marcus Borengasser
Publisher : CRC Press
Page : 130 pages
File Size : 26,4 MB
Release : 2007-12-13
Category : Technology & Engineering
ISBN : 1420012606
Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detection and identification. Presenting the fundamenta
Author : Prem Chandra Pandey
Publisher : Elsevier
Page : 508 pages
File Size : 43,40 MB
Release : 2020-08-05
Category : Science
ISBN : 0081028954
Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection Provides an overview of the state-of-the-art, including algorithms, techniques and case studies
Author : Chein-I Chang
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 39,94 MB
Release : 2013-12-11
Category : Computers
ISBN : 1441991700
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.
Author : Michael Theodore Eismann
Publisher : SPIE-International Society for Optical Engineering
Page : 0 pages
File Size : 41,20 MB
Release : 2012
Category : Image processing
ISBN : 9780819487872
Hyperspectral remote sensing is an emerging, multidisciplinary field with diverse applications that builds on the principles of material spectroscopy, radiative transfer, imaging spectrometry, and hyperspectral data processing. While there are many resources that suitably cover these areas individually and focus on specific aspects of the hyperspectral remote sensing field, this book provides a holistic treatment that captures its multidisciplinary nature. The content is oriented toward the physical principles of hyperspectral remote sensing as opposed to applications of hyperspectral technology. Readers can expect to finish the book armed with the required knowledge to understand the immense literature available in this technology area and apply their knowledge to the understanding of material spectral properties, the design of hyperspectral systems, the analysis of hyperspectral imagery, and the application of the technology to specific problems.
Author : Ruiliang Pu
Publisher : CRC Press
Page : 822 pages
File Size : 17,7 MB
Release : 2017-08-16
Category : Science
ISBN : 1351646931
Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.
Author : Saurabh Prasad
Publisher : Springer Nature
Page : 464 pages
File Size : 43,86 MB
Release : 2020-04-27
Category : Computers
ISBN : 3030386171
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.
Author : Joseph N. Pelton
Publisher :
Page : pages
File Size : 21,68 MB
Release :
Category : Artificial satellites
ISBN : 9781461464235