This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
Hello, @ChenHongruixuan , thank you for making your work public.
I don't understand well the file '2000TM' in Dataset\Landsat\TaiZhou, what does it means and how should I get it using my dataset?
Thank you for your answer.
As this line in irmad.py, from MAD.util import show_variates
May be my fault, but well I couldn't find neither util nor show_variates.
Hope for reply, thanks.
In irmad.py, line 51: eigenvector_Y = np.dot(np.dot(inv(sigma_22), sigma_21), eigenvector_X) # the eigenvector of image Y
I suppose the eigenvector of image Y should be divided by the eigenvalue, according to equations in the common way of solving CCA. eigenvector_Y_ =np.dot(np.dot(inv(sigma_22), sigma_21), eigenvector_X) /eigenvalue
Am I wrong or it's an error in code ?
Hope for your reply, and I'll be very thankful.
I'm looking for KPCA-Mnet's code. however I can't find any codes in this repository.
Even in the link that you annotated at KPCA-Mnet, There's no any .py files neither.
Is it hidden by some of reason?
Hi, @I-Hope-Peace . Thank you for your grear work. When I tested the traditional methods, the result of SFA is inconsistency with that provided by you. Here, I present the result I generated: