DocumentCode
3531499
Title
Advances in hyperspectral processing for province- and continental- wide mineral mapping
Author
Hewson, R.D. ; Cudahy, T.J. ; Caccetta, M. ; Rodger, A. ; Jones, Maxwell ; Ong, Chun-Lian
Author_Institution
Div. of Exploration & Min., CSIRO, Brisbane, QLD, Australia
Volume
4
fYear
2009
fDate
12-17 July 2009
Abstract
Comprehensive mapping of the mineral composition within North Queensland, Australia was recently undertaken using 25,000 km2 of airborne hyperspectral imagery. High spatial resolution, web-accessible, seamless, accurate maps of mineral abundances and physicochemistries, were delivered as part of a Queensland Geological Survey initiative. This required the development of pre-processing and mineral information extraction strategies that could be applied across a large number of individual flight lines within a diverse range of environments. This study demonstrated the successful use of spectral indices to target diagnostic reflectance absorption features associated with mineral abundances, composition and variations associated with crystalline or water bonding states. A multi-level series of masks, in a logical sequence, were applied to reduce possible ambiguities within image products. A new technique was also developed to compensate for variable vegetation cover, enabling the extraction of predominantly geological information (e.g. soil, outcrop, colluvium).
Keywords
geophysical signal processing; minerals; mining; remote sensing; spectral analysis; Australia; Queensland Geological Survey initiative; airborne hyperspectral imagery; continent wide mineral mapping; crystalline states; diagnostic reflectance absorption features; geological information extraction; hyperspectral processing; mineral abundance maps; mineral composition; mineral information extraction; north Queensland; province wide mineral mapping; spectral indices; variable vegetation cover; water bonding states; Absorption; Australia; Bonding; Crystallization; Data mining; Geology; Hyperspectral imaging; Minerals; Reflectivity; Spatial resolution; Hyperspectral; mineral mapping; spectral indices; vegetation compensation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417473
Filename
5417473
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