Infrared Small Target Detection Based on Partial Sum of the Tensor Nuclear Norm

Excellent performance, real time and strong robustness are three vital requirements for infrared small target detection. Unfortunately, many current state-of-the-art methods merely achieve one of the expectations when coping with highly complex scenes. In fact, a common problem is that real-time processing and great detection ability are difficult to coordinate. Therefore, to address this issue, a robust infrared patch-tensor model for detecting an infrared small target is proposed in this paper. On the basis of infrared patch-tensor (IPT) model, a novel nonconvex low-rank constraint named partial sum of tensor nuclear norm (PSTNN) joint weighted l1 norm was employed to efficiently suppress the background and…

• NN
  National Natural Science Foundation of China

  Awards: 61571096 and 61775030, 61571096, 61775030, and 61575038, 61571096, 61775030
• CA
  Chinese Academy of Sciences

  Award: 2017LBC003
• UO
  University of Electronic Science and Technology of China