Fusion of DPCA and ICA algorithms for mineral detection using Landsat-8 spectral bands
- Publication Type:
- Conference Proceeding
- Citation:
- International Geoscience and Remote Sensing Symposium (IGARSS), 2019, pp. 6067 - 6070
- Issue Date:
- 2019-07-01
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
08898241_Amin et al.2019.pdf | Accepted Manuscript version | 549.02 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 2019 IEEE. Fusion of Directed Principal Component Analysis (DPCA) and Independent Component Analysis (ICA) algorithms was applied to some selected Landsat-8 mineral indices for mapping gossan and clay-rich zones for Zn-Pb exploration in the Franklinian Basin of North Greenland. This region contains a unique potential for exploration of world-class zinc deposits. Numerous potential zones for Zn-Pb deposits were identified using the fusion technique of DPCA/ICA. Their identification was based on detecting alteration mineral patterns consist of ferric iron, ferrous iron and clay minerals within a background of sedimentary rocks using Landsat-8 spectral bands. Several zones of gossan and clay mineral assemblages were identified in the trough sequences of the Citronen Fjord, Peary Land that may represent potential undiscovered CD Zn-Pb deposits and warrant further investigation. This investigation indicates that satellite remote sensing mapping techniques can aid in identifying unknown/undiscovered Zn-Pb sulfide deposits in the High Arctic Franklinian Basin by targeting the location of alteration zones that are feasible location for mineral occurrences.
Please use this identifier to cite or link to this item: