The performance of the 2D LCWT-based fusion scheme is compared to the results obtained by applying the Laplacian pyramid (LP) [34], the discrete wavelet transform (DWT) [23], the Curvelet (CVT) [35], and the Contourlet (CT) [36] which are frequently used to perform image fusion task.
The first fusion scheme is to combine all individuals in the final generation of the MOGA.
The fusion scheme is similar to that presented in [38].
In this paper, a multilevel fusion scheme is proposed.
OR-rule data fusion scheme is favored as from the comparison, it offers better PU protection.
In general, a multi-scale fusion scheme is used to alleviate the boundary-emphasize effect.
Meanwhile, as the fusion scheme was based on block selection from different bands, the system was secure because the combination of blocks differed between bands, making stronger discrimination possible.
Based on the crowd fusion, recommendation fusion scheme was designed.
Moreover, the number and procedure for selecting base classifiers for fusion schemes is determined using a methodology based on dataset clustering and candidate classifiers' accuracy.
According to the weights of the fusion, the crowd fusion and the recommended fusion scheme are proposed.
