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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification - Brossura
- EditoreLAP LAMBERT Academic Publishing
- Data di pubblicazione2018
- ISBN 10 6137344266
- ISBN 13 9786137344262
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine72
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data
Editore:
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786137344262
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
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Brossura
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. Codice articolo 26394695585
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Nuovo
Brossura
Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand. Codice articolo 401681534
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data : Exploring the potential of AVIRIS-NG for Mineral Identification
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
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 - 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. Codice articolo 9786137344262
Quantità: 1 disponibili
Foto dell'editore
Study of Mineral Mapping Techniques using Airborne Hyperspectral Data: Exploring the potential of AVIRIS-NG for Mineral Identification
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
Nuovo
Brossura
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. PRINT ON DEMAND. Codice articolo 18394695595
Quantità: 4 disponibili
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Study of Mineral Mapping Techniques using Airborne Hyperspectral Data
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137344266
ISBN 13: 9786137344262
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Brossura
Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 385845198
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