Physically Based Object Contour Edge Display Using Adjustable Linear Polarization Ratio for Passive Millimeter-Wave Security Imaging

2020 ◽  
pp. 1-15
Author(s):  
Yayun Cheng ◽  
Yingxin Wang ◽  
Yingying Niu ◽  
Harvey Rutt ◽  
Ziran Zhao
Keyword(s):  
Millimeter Wave ◽  
Linear Polarization ◽  
Polarization Ratio ◽  
Object Contour ◽  
Physically Based

Linear polarization characteristics for terrain identification at millimeter wave band

2014 ◽  
Vol 12 (10) ◽  
pp. 101201-101204
Author(s):  
Xuan Lu Xuan Lu ◽  
Zelong Xiao Zelong Xiao ◽  
Jianzhong Xu Jianzhong Xu
Keyword(s):  
Millimeter Wave ◽  
Linear Polarization ◽  
Wave Band ◽  
Millimeter Wave Band ◽  
Polarization Characteristics

Linear polarization of millimeter-wave emission lines in clouds without large velocity gradients

1988 ◽  
Vol 328 ◽  
pp. 304 ◽  
Author(s):  
D. C. Lis ◽  
P. F. Goldsmith ◽  
R. L. Dickman ◽  
C. R. Predmore ◽  
A. Omont ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Linear Polarization ◽  
Emission Lines ◽  
Velocity Gradients ◽  
Large Velocity ◽  
Wave Emission

Design of the Millimeter-Wave Microstrip Array Antenna

2014 ◽  
Vol 662 ◽  
pp. 239-242
Author(s):  
Shuang Zhao ◽  
Dian Ren Chen
Keyword(s):  
Millimeter Wave ◽  
Linear Polarization ◽  
Cavity Mode ◽  
Simulation Software ◽  
Array Antenna ◽  
Center Frequency ◽  
Microstrip Patch ◽  
Linearly Polarized ◽  
Microstrip Array ◽  
Microstrip Array Antenna

In this paper, a linearly polarized microstrip patch array antenna is analyzed based on the theory of cavity mode. Using the weighted parallel fed method, a 64 element linear polarization microstrip array antenna with a 35.5GHz center frequency is designed. Then we use the simulation software optimize the simulation model of the antenna. The simulation result shows that this antenna has a gain of 22dB, and low sidelobes.

scholarly journals Oilseed Rape (Brassica napus L.) Phenology Estimation by Averaged Stokes-Related Parameters

2021 ◽  
Vol 13 (14) ◽  
pp. 2652
Author(s):  
Wangfei Zhang ◽  
Yongxin Zhang ◽  
Yue Yang ◽  
Erxue Chen
Keyword(s):  
Decision Tree ◽  
Circular Polarization ◽  
Oilseed Rape ◽  
Linear Polarization ◽  
Orientation Angle ◽  
Stokes Parameters ◽  
Growth Stages ◽  
Phenological Stage ◽  
Polarization Ratio ◽  
Crop Phenology

Accurate and timely knowledge of crop phenology assists in planning and/or triggering appropriate farming activities. The multiple Polarimetric Synthetic Aperture Radar (PolSAR) technique shows great potential in crop phenology retrieval for its characterizations, such as short revisit time, all-weather monitoring and sensitivity to vegetation structure. This study aims to explore the potential of averaged Stokes-related parameters derived from multiple PolSAR data in oilseed rape phenology identification. In this study, the averaged Stokes-related parameters were first computed by two different wave polarimetric states. Then, the two groups of averaged Stokes-related parameters were generated and applied for analyzing averaged Stokes-related parameter sensitivity to oilseed rape phenology changes. At last, decision tree (DT) algorithms trained using 60% of the data were used for oilseed rape phenological stage classification. Four Stokes parameters (g0, g1, g2 and g3) and eight sub parameters (degree of polarization m, entropy H, ellipticity angle χ, orientation angle φ, degree of linear polarization Dolp, degree of circular polarization Docp, linear polarization ratio Lpr and circular polarization ratio Cpr) were extracted from a multi-temporal RADARSAT-2 dataset acquired during the whole oilseed rape growth cycle in 2013. Their sensitivities to oilseed rape phenology were analyzed versus five main rape phenology stages. In two groups (two different wave polarimetric states) of this study, g0, g1, g2, g3, m, H, Dolp and Lpr showed high sensitivity to oilseed rape growth stages while χ, φ, Docp and Cpr showed good performance for phenology classification in previous studies, which were quite noisy during the whole oilseed rape growth circle and showed unobvious sensitivity to the crop’s phenology change. The DT algorithms performed well in oilseed rape phenological stage identification. The results were verified at the parcel level with left 40% of the point dataset. Five phenology intervals of oilseed rape were identified with no more than three parameters by simple but robust decision tree algorithm groups. The identified phenology stages agree well with the ground measurements; the overall identification accuracies were 71.18% and 79.71%, respectively. For each growth stage, the best performance occurred at stage S1 with the accuracy of 95.65% for Group 1 and 94.23% for Group 2, and the worst performance occurred at stage S3 and S5 with the values around 60%. Most of the classification errors may resulted from the indistinguishability of S3 and S5 using Stokes-related parameters.

scholarly journals VECTOR CLUSTERING OF PASSIVE MILLIMETER WAVE IMAGES WITH LINEAR POLARIZATION FOR CONCEALED OBJECT DETECTION

2013 ◽  
Vol 39 ◽  
pp. 169-180 ◽  
Author(s):  
Seokwon Yeom ◽  
Dongsu Lee ◽  
Hyoung Lee ◽  
Joungyoung Son ◽  
Vladimir P. Gushin
Keyword(s):  
Object Detection ◽  
Millimeter Wave ◽  
Linear Polarization ◽  
Vector Clustering
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