Simulation results have demonstrated significant improvements over wavelet-based methods, namely, TI wavelet denoising, denoising based on wavelet transform footprints, as well as recently introduced EPWT based method.
The method proposed in the manuscript only needs one or two scan lines to obtain the frequency ratio based on wavelet transform.
De-noising based on wavelet transform footprints [26, 27].
Fig. 3 a d Experiment versus simulation frequency power spectrum based on wavelet transform.
Farzin et al. [12] have suggested another method based on wavelet transform.
The relationship between the frequency and lattice orientation has been further investigated based on wavelet transform.
Other methods based on wavelet transform and multi-scale analysis are also utilized for SAR image segmentation [3].
Therefore, as shown in Figure 2, the detailed fusion steps based on wavelet transform can be summarized below.
Based on wavelet transform and feature extraction scheme, a robust MFP was proposed by G. Gong and X. Gong [10].
The simulation and experimental spatial frequency power spectrums based on wavelet transform are depicted in Fig. 3.
In this approach, an advanced point forecasting method is originally proposed based on wavelet transform and convolutional neural network.
