Skip to content

Latest commit

 

History

History
2 lines (2 loc) · 365 Bytes

README.md

File metadata and controls

2 lines (2 loc) · 365 Bytes

AEKAN-for-MCD

The paper “AEKAN: Exploring Superpixel-based Autoencoder Kolmogorov-Arnold Networks for Unsupervised Multimodal Change Detection” (Download: 10.1109/TGRS.2024.3515258) has been accepted by IEEE Transactions on Geoscience and Remote Sensing. The code and pre-trained parameters will be released soon.