-
Figure 6. Interpretation from Landsat TM / RADARSAR-1 fused image, showing the subsurface features of the study area
Visual evaluation of the images produced by the multisensor
data fusion indicates that the fused images represent a
substantial improvement in interpretability over the original
multispectral data. This paper describes the effectiveness of the
fusion of SAR and optical images based on the use of IHS
transformation. The output fused image improves visual
detection of subsurface structures such as foliations, folding and
faults in the study area. Those features are covered with sand
sheets, dunes and wadi alluvium, which make them almost
undetectable in Landsat TM data. Moreover, the fusion of the
two data sets reveals drainage patterns and recent structures.
These features are valuable for exploration of mineral deposits
such as BIF and heavy minerals in placer deposits in the
investigated area and similar arid regions.
Application of IHS transformations of TM data to accomplish
highly detailed multispectral fused image, by direct substitution
of the RADARSAT-1 data for the computed intensity, was quit
useful in revealing the subsurface features, the structures and
the information content of the study area.
REFERENCES
Dasarthy, B.V., 1994. Decision Fusion. IEEE Computer Society
Press. Los Alamitos, CA, USA.
Eldougdoug, A. and Nasr, A.H., 1994. Merging Aerial
Photographs and Landsat TM Data for Delineation of the
Weathered Zone of the Ophiolitic Ultramaphic Rocks of Siji
Area, Northern Emirates Mountains, U.A.E. Journal Fac. Sci.
U.A.E. Univ., 8(2), pp. 253-259.
Gungor, O. and Shan, J., 2006. An Optimal Fusion Approach
for Optical and SAR Images. Proc. of ISPRS, Mid-Term
Symposium 2006, Remote Sensing: from pixels to processes.
The International Institute for Aerospace Survey and Earth
Sciences (ITC), Enschede, The Netherlands, pp.8-13.
Kalpoma, A.K. and Kudoh J., 2007. Image Fusion Processing
for IKONOS 1 -m Color Imagery. IEEE Trans. Geosci. and
Remote Sensing, 45(10), pp. 3075-3086.
Khattab, M.M., Greiling, O.R ., Khalid, A.M., Said, M.M.,
Kontny, A., Abu Salem, A.O., El Kady, M.F., Attia, M.N. and
Shaaban, G.M., 2002. A1 Uwaynat Banded Iron Formation (SW
Egypt) distribution and related gold mineralization. Annals
Geol. Survey Egypt, 25, pp. 343-364.
Kim, J., Lee, Y. and Kawa, S., 2005. The Fusion of SAR
Images and Optical Images, Based on the Use of Wavelet
Transform: to Improve Classification Accuracy. Proc. of SPIE,
the 12th Europe International Symposium on Remote Sensing.
Congres Ctr., Bruges, Belgium, 5980, pp. 59800K 1-8.
Nasr, A.H., Darwish, A.M. and Shaheen, S.I., 2001. Use of
Intensity-Hue-Saturation (IHS) Transformations in Change
Detection of Multi-temporal Remotely Sensed Data. Proc. of
SPIE, the 8th International Symposium on Remote Sensing.
Centre de Congres, Toulouse, France, 4541, pp. 318-327.
Onsi, H.M., 2002. Development of Cascaded Transforms
scheme for enhancing Spatial Resolution of Landsat ETM+
Data Based on evaluation of Data Fusion Techniques. Egypt. J.
Remote Sensing & Space Sci, 5, pp. 3-18.
Park, J.H. and Kang, M.G., 2004. Spatially Adaptive
Multiresolution Multispectral Image Fusion. International
Journal of Remote Sensing, 25(23), pp. 5491-5508.
Pellemans, A.H., Jordans, R.W. and Allewijn, R., 1993.
Merging Multispectral and Panchromatic Spot Images with
Respect to the Radiometric Properties of the Sensor.
Photogrammetric Engineering and Remote Sensing, 59, pp.81 -
87.
1122