Fusion of TerraSAR-x and Landsat ETM+ data for protected area mapping in Uganda |
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| Institution: | 1. Turkiye Yuksek Ihtisas Training and Research Hospital, Department of Cardiology, Ankara, Turkey;2. Gazi University Medical Faculty, Department of Cardiology, Ankara, Turkey;3. Gazi University Medical Faculty, Department of Medical Biochemistry, Ankara, Turkey;1. Department of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Denmark;2. Department of Cardiology, Aarhus University Hospital, Skejby, Denmark;3. Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark;4. Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark;5. Department of Cardiology, Odense University Hospital, Odense, Denmark;6. Department of Cardiology, Zealand University Hospital, Roskilde, Denmark;7. Department of General and Interventional Cardiology, University Heart Center, Hamburg, Germany;8. Department of Medicine, Division of Cardiology, Nykoebing F Hospital, Nykøbing Falster, Denmark;9. University of Southern Denmark, Odense, Denmark;10. University of Lund, Sweden |
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| Abstract: | TerraSAR-X satellite acquires very high spatial resolution data with potential for detailed land cover mapping. A known problem with synthetic aperture radar (SAR) data is the lack of spectral information. Fusion of SAR and multispectral data provides opportunities for better image interpretation and information extraction. The aim of this study was to investigate the fusion between TerraSAR-X and Landsat ETM+ for protected area mapping using high pass filtering (HPF), principal component analysis with band substitution (PCA) and principal component with wavelet transform (WPCA). A total of thirteen land cover classes were identified for classification using a non-parametric C 4.5 decision tree classifier. Overall classification accuracies of 74.99%, 83.12% and 85.38% and kappa indices of 0.7220, 0.8100 and 0.8369 were obtained for HPF, PCA and WPCA fusion approaches respectively. These results indicate a high potential for a combined use of TerraSAR-X and Landsat ETM+ data for protected area mapping in Uganda. |
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| Keywords: | TerraSAR-X Landsat ETM+ Decision trees Image fusion |
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