Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 13; pp. 5887 - 5897
• Main Authors: Xie, Weiying, Zhang, Xin, Li, Yunsong, Wang, Keyan, Du, Qian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Background learning; Detection; False alarms; Feature extraction; Gallium nitride; Generative adversarial networks; hyperspectral image (HSI); Hyperspectral imaging; Image reconstruction; Learning; Military applications; Object detection; Target detection; Target recognition; target suppression constraint; Training; Vectors

Hyperspectral target detection is critical in both military and civilian applications. However, it is a challenging task due to the complexity of background and the limited samples of target in hyperspectral images (HSIs). In this article, we propose a novel background learning model, called backgro...