Spectral imaging analysis models

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2012, 2012

3659250325 / 9783659250323

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This item is printed on demand - Print on Demand Titel. Neuware -Hyperspectral Imagery combines imaging and spectroscopy in single systems which often include large data sets and require new processing methods. The spatial resolution of most space borne Hyperspectral (HSI) sensors is much coarser than the size of the objects being observed. Therefore the measured spectral signature is a mixture of the signatures of the objects in the field of view (FOV) of the sensor. One of the tedious and time consuming tasks related to hyperspectral data analysis is the identification of library candidates. The high spectral resolution can be effectively used to decompose measured spectra into its constituents by way of spectral unmixing. Spectral Unmixing is the process by which the measured spectrum is decomposed into a collection of constituent spectra (or endmembers), and a set of corresponding fractions (or abundances). Thus spectral unmixing allows us to detect and classify sub-pixel target objects by their contribution to the measured spectral signature. The application area includes Agriculture, Forestry, Geology, Hydrology, Sea ice and Water, Environment, Land cover, Mapping, Ocean and Coastal, Military Operations, Geo-explorations, and Bio-sciences.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 264 pp. Englisch.…

Seller Inventory # 9783659250323

Title
Spectral imaging analysis models
Author
Keshav Dev Singh
Publisher
LAP LAMBERT Academic Publishing Okt 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659250325
ISBN 13
9783659250323
Item weight
411 grams
Dimensions
220x150x17 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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