TY - JOUR
T1 - 红外偏振感知与智能处理
AU - Zhao, Yongqiang
AU - Li, Ning
AU - Zhang, Peng
AU - Yao, Jiaxin
AU - Pan, Quan
N1 - Publisher Copyright:
© 2018, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
PY - 2018/11/25
Y1 - 2018/11/25
N2 - Infrared polarization imaging has potential advantages in anti-jamming target detection and man-made object recognition in complex environment, and can obtain the physical and chemical characteristics of the target surface. The application of division-of-time, division-of-amplitude and division-of-aperture infrared polarization imaging technique is limited to the insufficiency of volume, weight and power consumption. Miniaturization, integration and real-time imaging equipment are the premise of the widespread application of infrared polarization imaging. Intelligent analysis of the acquired data is the basis of its application. In this paper, a new developed infrared polarization intelligent sensing system was introduced, which collected the infrared polarization data of the target scene in real-time by using the division-of-focal-plane imaging technology. By combining the deep learning with the division- of-focal-plane polarization imaging closely, the high quality polarization image restoration and the intelligent sensing of moving target in typical scenes were realized.
AB - Infrared polarization imaging has potential advantages in anti-jamming target detection and man-made object recognition in complex environment, and can obtain the physical and chemical characteristics of the target surface. The application of division-of-time, division-of-amplitude and division-of-aperture infrared polarization imaging technique is limited to the insufficiency of volume, weight and power consumption. Miniaturization, integration and real-time imaging equipment are the premise of the widespread application of infrared polarization imaging. Intelligent analysis of the acquired data is the basis of its application. In this paper, a new developed infrared polarization intelligent sensing system was introduced, which collected the infrared polarization data of the target scene in real-time by using the division-of-focal-plane imaging technology. By combining the deep learning with the division- of-focal-plane polarization imaging closely, the high quality polarization image restoration and the intelligent sensing of moving target in typical scenes were realized.
KW - Deep learning
KW - Division of focal plane polarization imaging
KW - Image processing
KW - Thermal infrared polarization detection
UR - http://www.scopus.com/inward/record.url?scp=85059073252&partnerID=8YFLogxK
U2 - 10.3788/IRLA201847.1102001
DO - 10.3788/IRLA201847.1102001
M3 - 文章
AN - SCOPUS:85059073252
SN - 1007-2276
VL - 47
JO - Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
JF - Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
IS - 11
M1 - 1102001
ER -