Hyperspectral Imaging Remote Sensing


Download Hyperspectral Imaging Remote Sensing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Hyperspectral Imaging Remote Sensing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Hyperspectral Imaging Remote Sensing


Hyperspectral Imaging Remote Sensing

Author: Dimitris G. Manolakis

language: en

Publisher: Cambridge University Press

Release Date: 2016-10-20


DOWNLOAD





Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide.

Hyperspectral Remote Sensing


Hyperspectral Remote Sensing

Author: Marcus Borengasser

language: en

Publisher: CRC Press

Release Date: 2007-12-13


DOWNLOAD





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

Hyperspectral Remote Sensing


Hyperspectral Remote Sensing

Author: Michael Theodore Eismann

language: en

Publisher: SPIE-International Society for Optical Engineering

Release Date: 2012


DOWNLOAD





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.