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Abstract
Practical and economical constraints prompt the need of obtaining lithological and structural information with reduced field effort. The fusion of multi-sensor satellite data is an effective mean of exploiting the complimentary nature of different data types. This technique allows fusion of spectral-spectral information of multi-source data with high accuracy. ASTER data is characterized by a wide range of spectral bands (14 bands), which are excellent for lithologic discrimination. Based on spectral characteristic analysis (SCA) of the 3 VNIR and the 6 SWIR bands, two band-ratio images (1/5, 8/9, and 4/6) and (1/3, 2/5, and 4/9) in R, G, B were produced for better lithological discrimination. Different fusion techniques were used for the extraction and representation of structural features from high-resolution satellite imagery. The proposed approach integrates spectral and spatial image acquired from different sensors and platforms. This approach can produce geological maps with sharp interregional boundaries and homogeneous regions and highly detailed structural geology.
In this study SPOT-panchromatic image data with 10 m spatial resolution was fused with ASTER band-ratio image data with 30 m spatial resolution using principal component (PC), Brovey transform and High Pass Filter (HPF) techniques. Different methods were used in this study to obtain DEMs from existing data; RADARSAT stereoscopic pair, contour lines from (1:50, 000) topographic maps and ASTER data.
Three dimensional perspective views were generated by draping Spot-ASTER fused images over Radar DEM. This technique was used to enhance morphologically-defined structures on the basis of their geomorphological expression.
The fused images and the 3D views were interpreted to produce a photo-geological-structural map that was verified using the available geological maps and subsequently field check.