Triple disentangled network with dual attention for remote sensing image fusion

Feng Zhang, Guishuo Yang, Jiande Sun, Wenbo Wan, Kai Zhang

Abstract: Highlights•A triple disentangled network with dual attention is proposed for image fusion.•MCR loss is designed to disentangle spatial, spectral and common features in images.•The local–global spatial similarity is captured by the proposed SLGA module.•The spectral correlation among the LRMS image is modeled by the proposed SID module.