Target Recognition Using Infrared Polarization Imaging System

2011 ◽  
Vol 135-136 ◽  
pp. 983-988
Author(s):  
Na Ding ◽  
Jiao Bo Gao ◽  
Jun Wang
Keyword(s):  
Imaging System ◽  
Target Recognition ◽  
Analysis Data ◽  
Stokes Parameters ◽  
Ir Detector ◽  
Polarization Imaging ◽  
Image Acquisition System ◽  
Color Fusion ◽  
Images Processing ◽  
Pseudo Color

In this paper, we developed an infrared polarization imaging system. The system is composed of imaging lens, IR polarizing filter, medium wave IR detector, and image acquisition system. The design scheme of implementing target recognition with IR polarization imaging system was presented, and the IR Images with polarization information have been acquired by this system. On the basis of Stokes parameters and polarization IR images processing, the images of linear Stokes parameters (I, Q, U), the image of degree of linear polarization (P image) and the image of angle of polarization (X image) could been obtained. The image of PUX fusion image could be achieved by the pseudo color fusion. The results of actual experiment and quantitative analysis data confirm that the target in the processed images obtained from IR polarization imaging system is much clear than that in the original IR image.

Principle and Simulation of a Spatially Modulated Full Stokes Parameters Polarization Imaging System

2015 ◽  
Vol 35 (2) ◽  
pp. 0211004 ◽  
Author(s):  
胡巧云 Hu Qiaoyun ◽  
杨伟锋 Yang Weifeng ◽  
胡亚东 Hu Yadong ◽  
洪津 Hong Jin
Keyword(s):  
Imaging System ◽  
Stokes Parameters ◽  
Polarization Imaging

scholarly journals New diagonal micropolarizer arrays designed by an improved model in fourier domain

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jia Hao ◽  
Yan Wang ◽  
Kui Zhou ◽  
Xiaochang Yu ◽  
Yiting Yu
Keyword(s):  
Stokes Parameters ◽  
Fourier Domain ◽  
Extended Model ◽  
Reconstruction Accuracy ◽  
Polarization Imaging ◽  
New Class ◽  
Reconstruction Quality ◽  
Improved Design ◽  
Improved Model

AbstractThe design of micropolarizer array (MPA) patterns in Fourier domain provides an efficient approach to reconstruct and investigate the polarization information. Inspired by Alenin’s works, in this paper, we propose an improved design model to cover both 2 × N MPAs and other original MPAs, by which an entirely new class of MPA patterns is suggested. The performance of the new patterns is evaluated through Fourier domain analysis and numerical simulations compared with the existing MPAs. Particularly, we analyze the reconstruction accuracy of the first three Stokes parameters and degree of linear polarization (DoLP) in detail. The experimental results confirm that the 2 × 2 × 2 MPA provides the highest reconstruction quality of s0, s1, s2 and DoLP in terms of quantitative measures and visual quality, while the 3 × 3 diagonal MPA achieves the state-of-the-art best results in case of single-snapshot systems. The guidance of this extended model and new diagonal MPAs show its massive potential for the division of focal plane (DoFP) polarization imaging applications.

Optical Design of Decentered Aperture-Divided Polarization Imaging System

2013 ◽  
Vol 33 (6) ◽  
pp. 0622005 ◽  
Author(s):  
贺虎成 He Hucheng ◽  
季轶群 Ji Yiqun ◽  
周建康 Zhou Jiankang ◽  
赵知诚 Zhao Zhicheng ◽  
沈为民 Shen Weimin
Keyword(s):  
Imaging System ◽  
Optical Design ◽  
Polarization Imaging

Design and experiment of hyper-spectral polarization imaging system based on AOTF

2017 ◽  
Vol 46 (1) ◽  
pp. 138002
Author(s):  
汪家春 Wang Jiachun ◽  
赵大鹏 Zhao Dapeng ◽  
杜香华 Du Xianghua ◽  
王启超 Wang Qichao ◽  
林志丹 Lin Zhidan ◽  
...  
Keyword(s):  
Imaging System ◽  
Polarization Imaging ◽  
Hyper Spectral

Design of high speed processing module for infrared polarization imaging system

2017 ◽  
Vol 46 (2) ◽  
pp. 204002
Author(s):  
徐 超 Xu Chao ◽  
何利民 He Limin ◽  
王 霞 Wang Xia ◽  
金伟其 Jin Weiqi
Keyword(s):  
High Speed ◽  
Imaging System ◽  
Polarization Imaging ◽  
Processing Module

Target recognition method based on single-pixel imaging system and deep learning in the noisy environment

2020 ◽  
Vol 49 (6) ◽  
pp. 20200010
Author(s):  
石峰 Feng Shi ◽  
陆同希 Tongxi Lu ◽  
杨书宁 Shuning Yang ◽  
苗壮 Zhuang Miao ◽  
杨晔 Ye Yang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Imaging System ◽  
Target Recognition ◽  
Noisy Environment ◽  
Recognition Method ◽  
Single Pixel

The Design of High-Speed CMOS Imaging System Based on SOPC Technology

2010 ◽  
Vol 39 ◽  
pp. 523-528
Author(s):  
Xin Hua Yang ◽  
Yuan Yuan Shang ◽  
Da Wei Xu ◽  
Hui Zhuo Niu
Keyword(s):  
High Speed ◽  
Imaging System ◽  
Image Acquisition ◽  
Image Data ◽  
Image Sensor ◽  
Acquisition System ◽  
Storage Unit ◽  
Data Encoding ◽  
Acquisition Speed ◽  
Image Acquisition System

This paper introduces a design of a high-speed image acquisition system based on Avalon bus which is supported with SOPC technology. Some peripherals embedded in Avalon bus were customized and utilized in this system, such as imaging unit, decoding unit and storage unit, and these improved the speed of the whole imaging system. The data is compressed to three-fourths of the original by the decoding unit. A custom DMA is designed for moving the image data to the two caches of the SDRAM. This approach discards the method that FIFO must be put up in the traditional data acquisition system. And therefore, it reduced the CPU’s task for data moving. At the same time, the image acquisition and the data transmission can complete a parallel job. Finally, the design is worked on the high-speed image acquisition system which is made up of 2K*2K CMOS image sensor. And it improved the image acquisition speed by three ways: data encoding, custom DMA controller and the parallel processing.

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