Articoli correlati a SPECTRAL IMAGING ANALYSIS MODELS: Remote Sensing Satellites...
SPECTRAL IMAGING ANALYSIS MODELS: Remote Sensing Satellites Imagery Data Processing Techniques for Mineral Exploration: A Geo-science Perspective - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
He is a Doctorate’ student at Indian Institute of Technology Bombay, Mumbai. He received his graduation and post graduation both in Physics from University of Delhi. He completed his Master of Technology in Engineering Physics. He is a gold medalist recipient in Engineering Physics. His area of specialization includes Hyperspectral Remote Sensing.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 63,42
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costiRisultati della ricerca per SPECTRAL IMAGING ANALYSIS MODELS: Remote Sensing Satellites...
Immagini fornite dal venditore
SPECTRAL IMAGING ANALYSIS MODELS
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659250325
ISBN 13: 9783659250323
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 5143057
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Spectral imaging analysis models
Editore:
LAP LAMBERT Academic Publishing Okt 2012, 2012
ISBN 10: 3659250325
ISBN 13: 9783659250323
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 264 pp. Englisch. Codice articolo 9783659250323
Quantità: 2 disponibili
Immagini fornite dal venditore
Spectral imaging analysis models : Remote Sensing Satellites Imagery Data Processing Techniques for Mineral Exploration: A Geo-science Perspective
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659250325
ISBN 13: 9783659250323
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659250323
Quantità: 1 disponibili
Immagini fornite dal venditore
Spectral imaging analysis models
Editore:
LAP LAMBERT Academic Publishing Okt 2012, 2012
ISBN 10: 3659250325
ISBN 13: 9783659250323
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 264 pp. Englisch. Codice articolo 9783659250323
Quantità: 2 disponibili
Foto dell'editore
SPECTRAL IMAGING ANALYSIS MODELS: Remote Sensing Satellites Imagery Data Processing Techniques for Mineral Exploration: A Geo-science Perspective
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659250325
ISBN 13: 9783659250323
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 264 pages. 8.66x5.91x0.60 inches. In Stock. Codice articolo 3659250325
Quantità: 1 disponibili