A combination of neighborhood based ratio operator and convolutional wavelet neural networks for change detection in multi-temporal synthetic aperture radar images

This paper developed a novel solution of the change detection based on a combination of the Neighbor-based Ratio operator and the Convolutional Wavelet Neural Network algorithm for improving the accuracy of change detection in multi-temporal SAR images.