Surface Normal Vector Estimation From Passive Millimeter-Wave Polarimetric Imaging

被引：7
|
作者：
Hu, Yan [1 ]
Hu, Fei [1 ,2 ]
Cheng, Yayun [3 ,4 ]
Xu, Yanyu [1 ]
Su, Jinlong [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Peoples R China
[2] Natl Key Lab Sci & Technol Multispectral Informat, Wuhan 430074, Peoples R China
[3] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
[4] Natl Engn Lab Dangerous Articles & Explos Detect, Beijing 100084, Peoples R China
来源：
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2019年 / 12卷 / 11期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Estimation; Imaging; Radiometry; Surface impedance; Millimeter wave technology; Azimuth; Polarization; Information acquisition; passive millimeter-wave (PMMW); polarimetric measurement; radiation imaging; surface orientation estimation; BODY;
D O I：
10.1109/JSTARS.2019.2950102
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Surface normal vector is essential for object recognition and three-dimensional reconstruction. This article establishes a passive millimeter-wave polarization observation model of object thermal radiation. Then, a polarization-based method is proposed to acquire the surface normal vector from multipolarization measurements. The simulation results show that our method has high accuracy and robustness. The outdoor imaging experiment was conducted, and the polarization characteristics of several typical objects in the imaging were analyzed. Experimental results show that our method can successfully estimate the surface normal vector. The possible applications of our method include object recognition and pavement inspection.
引用
收藏
页码：4554 / 4562
页数：9
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