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
Link To Document :
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