Efficiency determination of scanner data fusion methods of space multispectral images

This paper explores the major remote sensing data fusion techniques at pixel level and reviews the concept, principals, limitations and advantages for each technique. This paper focused on traditional techniques like intensity hues-aturation-(IHS), Brovey, principal component analysis (PCA) and Wavelet. The results show that in comparison with classical fusion methods synergistic processing of scanner multispectral data using the proposed information technology based on ICA- and wavelet transformation gives more qualitative result. The synthesized image has high information content without color distortion. For each of the indices used to assess spatial and spectral quality of the merged images, the best results are obtained with the proposed method.