Closely-Spaced Infrared Small Targets Unmixing

DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing

This paper proposes DISTA-Net, the first deep learning model for unmixing closely-spaced infrared small targets, and introduces an open-source ecosystem for this field.

Shengdong Han, Shangdong Yang, Yuxuan Li, Xin Zhang, Xiang Li, Jian Yang, Ming-Ming Cheng, Yimian Dai