Universiti Teknologi Malaysia Institutional Repository

Characterization of ASTER data for mineral exploration

Hashim, Mazlan and Pour, Amin Beiranvnd and Marghany, Maged (2010) Characterization of ASTER data for mineral exploration. In: MRRS 6th International Remote Sensing & Gis Conference and Exhibition (MRSS 2010), 28-29 April 2010, PWTC, Kuala Lumpur.

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Official URL: https://www.researchgate.net/publication/257141256...


Rapid advances in remote sensing technology and digital image processing techniques created the best opportunities for detailed mapping and understanding of the earth's surface with perspective of mineral exploration. The advanced spaceborne thermal emission and reflection radiometer (ASTER) is one of the recent generations of medium resolution multispectral satellite remote system that are designed and have been reported substantial applications in geologic mapping especially in arid and semi-arid zones. The ASTER sensor has 14 bands and measures reflected radiation in VNIR (3bands between 0.52 0.86μm with spatial resolution 15m), SWIR (6 bands between 1.6 to 2.43μm with spatial resolution 30m) and TIR (5 bands8.125 to 11.65μm with spatial resolution 90m) electromagnetic energies. ASTER swath width is 60km (each scene is 60x60km). These characteristics make it an excellent choice as a space-borne sensor for applications in geology and mineral exploration, where the data are digitally processed for extraction of biophysical and biochemical parameters of the features for inferring scientific information of mineral in the area of interest. In term of digital image processing, extraction of information pertaining to mineral exploration can be categorized in 3 main groups; namely: (i) selection of effective information with reduction of spectral dimension using principal component analysis (PCA) in parametric and discriminant analysis for non-parametric approaches; and (ii) spectral transforms where enhancement of feature of interest are established from the known sites to larger area extend, and (iii) minimizing noise fractions (MNF) in the data for enhancing the feature of interest. This paper will review the digital image processing for mineral exploration for arid and semi-arid zones, taking into account also the opportunities and shortcomings of the current and state of the art of the existing techniques. Emphasis is placed on deriving mineral indicators such as identification of areas of altered rocks, which usually associated with ore deposition such as gold and cooper.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:ASTER data, mineral exploration
Subjects:G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:Geoinformation Science And Engineering (Formerly known)
ID Code:23867
Deposited By: Mrs Liza Porijo
Deposited On:20 Sep 2012 08:15
Last Modified:03 Jul 2017 06:24

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