Study of Mineral Mapping Techniques using Airborne Hyperspectral Data

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2018, 2018

6137344266 / 9786137344262

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This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Seller Inventory # 9786137344262

Title
Study of Mineral Mapping Techniques using Airborne Hyperspectral Data
Author
Ronak Jain
Publisher
LAP LAMBERT Academic Publishing Feb 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6137344266
ISBN 13
9786137344262
Item weight
125 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

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