Multi-channel optical hybrid filter controlled by extrinsic parameters in various phases of Eu3+:BiPO4

2021 ◽  
Vol 130 (24) ◽  
pp. 243102
Author(s):  
Anas Mujahid ◽  
Muhammad Imran ◽  
Huanrong Fan ◽  
Taoli Yuan ◽  
Hasnain Ali ◽  
...  
Keyword(s):  
Hybrid Filter ◽  
Extrinsic Parameters

Image Denoising Using Hybrid Filter

2012 ◽  
Author(s):  
Vinod Kumar ◽  
Anil Kumar ◽  
Pushparaj Pal
Keyword(s):  
Image Denoising ◽  
Hybrid Filter

Arrayed hybrid filter/coupler device for inservice fibre line testing

1993 ◽  
Vol 29 (20) ◽  
pp. 1786 ◽  
Author(s):  
T. Oguchi ◽  
F. Hanawa ◽  
N. Takato ◽  
N. Tomita ◽  
N. Atobe
Keyword(s):  
Hybrid Filter ◽  
Coupler Device

Design and Performance of a Transformerless Shunt Hybrid Filter Integrated Into a Three-Phase Diode Rectifier

2007 ◽  
Vol 22 (5) ◽  
pp. 1882-1889 ◽  
Author(s):  
Wiroj Tangtheerajaroonwong ◽  
Takaaki Hatada ◽  
Keiji Wada ◽  
Hirofumi Akagi
Keyword(s):  
Hybrid Filter ◽  
Three Phase ◽  
And Performance

High-strength greywater treatment in compact hybrid filter systems with alternative substrates

2012 ◽  
Vol 49 ◽  
pp. 84-92 ◽  
Author(s):  
Kristjan Karabelnik ◽  
Margit Kõiv ◽  
Kuno Kasak ◽  
Petter D. Jenssen ◽  
Ülo Mander
Keyword(s):  
High Strength ◽  
Hybrid Filter ◽  
Alternative Substrates

scholarly journals Extrinsic Parameters Calibration Method of Cameras with Non-Overlapping Fields of View in Airborne Remote Sensing

2018 ◽  
Vol 10 (8) ◽  
pp. 1298 ◽  
Author(s):  
Lei Yin ◽  
Xiangjun Wang ◽  
Yubo Ni ◽  
Kai Zhou ◽  
Jilong Zhang
Keyword(s):  
Remote Sensing ◽  
Camera Calibration ◽  
Calibration Method ◽  
Optimization Method ◽  
Airborne Remote Sensing ◽  
Camera System ◽  
Translation Error ◽  
Camera Systems ◽  
Calibration Methods ◽  
Extrinsic Parameters

Multi-camera systems are widely used in the fields of airborne remote sensing and unmanned aerial vehicle imaging. The measurement precision of these systems depends on the accuracy of the extrinsic parameters. Therefore, it is important to accurately calibrate the extrinsic parameters between the onboard cameras. Unlike conventional multi-camera calibration methods with a common field of view (FOV), multi-camera calibration without overlapping FOVs has certain difficulties. In this paper, we propose a calibration method for a multi-camera system without common FOVs, which is used on aero photogrammetry. First, the extrinsic parameters of any two cameras in a multi-camera system is calibrated, and the extrinsic matrix is optimized by the re-projection error. Then, the extrinsic parameters of each camera are unified to the system reference coordinate system by using the global optimization method. A simulation experiment and a physical verification experiment are designed for the theoretical arithmetic. The experimental results show that this method is operable. The rotation error angle of the camera’s extrinsic parameters is less than 0.001rad and the translation error is less than 0.08 mm.

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