Investigation of fusion methods using multispectral optical and polarimetric SAR Images

Abstract: The aim of this study is to explore the performances of different data fusion techniques for the enhancement of urban features. For the data fusion, multiplicative method, Brovey transform, principal component analysis (PCA), Gram-Schmidt fusion, wavelet-based fusion and Elhers fusion are used and the results are compared.