Joint Processing of Spatial Resolution Enhancement and Spectral Unmixing for Hyperspectral Image

Spatial resolution enhancement and its subsequent tasks are always separated in conventional hyperspectral image (HSI) processing model. The requirement of the following task, such as unmixing, cannot be referred by spatial resolution enhancement. Moreover, errors and artifacts will also be transmitted and accumulated. In this work, we propose a joint processing method of spatial resolution enhancement and spectral unmixing for HSI (J-SRE-Un), where these two tasks are treated as constraints for each other to simultaneously achieve better performance. Experiments on both simulated and real data demonstrate the effectiveness and superiority of our method.