Abstract:
Image fusion can be divided into pixel, feature and decision level. GIS based methods for mineral exploration are commonly based on feature and decision level. In this pa...Show MoreMetadata
Abstract:
Image fusion can be divided into pixel, feature and decision level. GIS based methods for mineral exploration are commonly based on feature and decision level. In this paper, a Spatially Weighted Principal Component Analysis (SWPCA) method was applied to combine multi-scale and multi-source geo-information at pixel level. The combination of various geo-information data sets will be either spectrally or spatially based. Results obtained by applying SWPCA to geophysical & remote sensing data and geochemical & remote sensing data clearly show the spatial distribution of intrusive bodies and mineral deposits related anomalies, respectively.
Date of Conference: 07-11 July 2008
Date Added to IEEE Xplore: 10 February 2009
ISBN Information: