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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification - Softcover
- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2018
- ISBN 10 6137344266
- ISBN 13 9786137344262
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten72
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data
Verlag:
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Geology is a science deal with the minerals and rocks majorly. Hyperspectral data is used in the geology domain for mineral identification and mapping. Because of its high spatial as well as high spectral resolution. The main objective is to identify the different minerals on the earth crust using different mineral mapping algorithms such as Spectral Angle Mapper (SAM), Spectral Feature Fitting (SFF) and Mixture Tuned Matched Filtering (MTMF) using AVIRIS-NG data and conclude the better algorithm for mineral mapping. For identification of a different kind of minerals, spectral analysis is performed. Imagery pixel spectrum is matched with predefined or unique (pure) spectra for the mineral detection. SAM algorithm mainly computes the angle between the pixel spectra and reference spectra. The SFF compares the continuum removed spectrum of the image with the continuum removed reference spectrum and operated the least square fitting. MTMF is a combination of two different algorithms and works on the MNF transformed data for estimation of abundance of minerals along with the identification of the false positive. MTMF perform well and gives better results for mineral mapping. 72 pp. Englisch. Bestandsnummer des Verkäufers 9786137344262
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Neu
Softcover
Anbieter: Books Puddle, New York, NY, USA
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Zustand: New. Bestandsnummer des Verkäufers 26394695585
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Beispielbild für diese ISBN
Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Neu
Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 401681534
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data : Exploring the potential of AVIRIS-NG for Mineral Identification
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Geology is a science deal with the minerals and rocks majorly. Hyperspectral data is used in the geology domain for mineral identification and mapping. Because of its high spatial as well as high spectral resolution. The main objective is to identify the different minerals on the earth crust using different mineral mapping algorithms such as Spectral Angle Mapper (SAM), Spectral Feature Fitting (SFF) and Mixture Tuned Matched Filtering (MTMF) using AVIRIS-NG data and conclude the better algorithm for mineral mapping. For identification of a different kind of minerals, spectral analysis is performed. Imagery pixel spectrum is matched with predefined or unique (pure) spectra for the mineral detection. SAM algorithm mainly computes the angle between the pixel spectra and reference spectra. The SFF compares the continuum removed spectrum of the image with the continuum removed reference spectrum and operated the least square fitting. MTMF is a combination of two different algorithms and works on the MNF transformed data for estimation of abundance of minerals along with the identification of the false positive. MTMF perform well and gives better results for mineral mapping. Bestandsnummer des Verkäufers 9786137344262
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Neu
Softcover
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18394695595
Anzahl: 4 verfügbar
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain RonakRonak Jain is presently pursuing PhD from Mohanlal Sukhadia University, Rajasthan. He received his M.Sc.(2015) & M.Sc. Tech.(2016) in Geology from MLSU and Post-Graduate Diploma in Geoinformatics (2017) from Indian Institut. Bestandsnummer des Verkäufers 385845198
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