A 3D Outdoor Scene Scanner Based on a Night-Vision Range-Gated Active Imaging System

2006 ◽  
Author(s):  
David Monnin ◽  
Armin L. Schneider ◽  
Frank Christnacher ◽  
Yves Lutz
Keyword(s):  
Imaging System ◽  
Night Vision ◽  
Active Imaging

scholarly journals UAV Detection with Transfer Learning from Simulated Data of Laser Active Imaging

2021 ◽  
Vol 11 (11) ◽  
pp. 5182
Author(s):  
Shao Zhang ◽  
Guoqing Yang ◽  
Tao Sun ◽  
Kunyang Du ◽  
Jin Guo
Keyword(s):  
Imaging System ◽  
Simulated Data ◽  
Simulation Method ◽  
Previous Method ◽  
Night Vision ◽  
Simulated Dataset ◽  
Security And Privacy ◽  
Imaging Data ◽  
Detection Model ◽  
Active Imaging

With the development of our society, unmanned aerial vehicles (UAVs) appear more frequently in people’s daily lives, which could become a threat to public security and privacy, especially at night. At the same time, laser active imaging is an important detection method for night vision. In this paper, we implement a UAV detection model for our laser active imaging system based on deep learning and a simulated dataset that we constructed. Firstly, the model is pre-trained on the largest available dataset. Then, it is transferred to a simulated dataset to learn about the UAV features. Finally, the trained model is tested on real laser active imaging data. The experimental results show that the performance of the proposed method is greatly improved compared to the model not trained on the simulated dataset, which verifies the transferability of features learned from the simulated data, the effectiveness of the proposed simulation method, and the feasibility of our solution for UAV detection in the laser active imaging domain. Furthermore, a comparative experiment with the previous method is carried out. The results show that our model can achieve high-precision, real-time detection at 104.1 frames per second (FPS).

Semiconductor Laser Night Vision Image of Vehicle Recognition Based on Image Processing

2013 ◽  
Vol 347-350 ◽  
pp. 947-950
Author(s):  
Zhao Xin Wang ◽  
Shuang Xu ◽  
Ling Gao ◽  
Hui Zhang ◽  
Yan Nan Zhai
Keyword(s):  
Semiconductor Laser ◽  
Optical System ◽  
Imaging System ◽  
Optical Axis ◽  
Night Vision ◽  
Laser Diode Array ◽  
Vehicle Recognition ◽  
Semiconductor Laser Diode ◽  
Dsp System ◽  
Active Imaging

The semiconductor laser night imaging system introduced in this paper is an active imaging system. The system using laser as light source,can get the night scene in total darkness conditions at night. So this system has been widely used in the field of public security and vehicle recognition.This system is composed of semiconductor laser diode array, laser transmitting and receiving optical system, camera receiver and DSP system and so on. The main character of this system is the technology of non-scanning laser imaging to obtain laser range images, and then the images are under the treatments of real-time collection, storing, superpose filtering, and characteristics extraction. With the program of centroid coordinate of the target, the optical axis of the optical system will be in coincidence and the action order will be formed.

Broadband near-infrared emission of K3ScF6:Cr3+ phosphors for night vision imaging system sources

2021 ◽  
Vol 417 ◽  
pp. 129271
Author(s):  
Haojun Yu ◽  
Jian Chen ◽  
Ruiyu Mi ◽  
Juyu Yang ◽  
Yan-gai Liu
Keyword(s):  
Near Infrared ◽  
Imaging System ◽  
Infrared Emission ◽  
Night Vision ◽  
Near Infrared Emission

Sequential Detection of Targets in Laser Active Imaging System

2011 ◽  
Vol 38 (9) ◽  
pp. 0908007
Author(s):  
李晓峰 Li Xiaofeng ◽  
徐军 Xu Jun ◽  
罗积军 Luo Jijun ◽  
曹立佳 Cao Lijia ◽  
张胜修 Zhang Shengxiu ◽  
...  
Keyword(s):  
Imaging System ◽  
Sequential Detection ◽  
Active Imaging

Noise Analysis and Filtering for Laser Active Imaging System

2013 ◽  
Vol 475-476 ◽  
pp. 282-286
Author(s):  
Tao Sun
Keyword(s):  
Imaging System ◽  
Noise Analysis ◽  
Speckle Noise ◽  
Recognition System ◽  
Denoising Method ◽  
Edge Information ◽  
System A ◽  
Active Imaging ◽  
The Difference ◽  
Contour Curvature

In order to deal with the contradiction between suppressing speckle noise and reserving details in laser active imaging recognition system, a denoising method based on contour curvature is proposed. Due to the contour curvature, the pixels in the image are divided into different classes, which contain different amount of information. The filter parameters are different for each class. Firstly, the origin image is smoothed using wavelet soft thresholding, then the contours are extracted by Morphological edge detection operator. Due to the difference of contour curvature, the pixels are labeled with point of strong signal, point of weak signal or point of no signal. Pixels with different labels are filtered by Lee filter of different step width. Experiment result indicates that compared with classical Lee filter, the proposed method performs better in filtering and keeping edge information.

Fast contour torque features based recognition in laser active imaging system

Optik ◽  
2015 ◽  
Vol 126 (21) ◽  
pp. 3276-3282 ◽  
Author(s):  
Canjin Wang ◽  
Tao Sun ◽  
Tinfeng Wang ◽  
Juan Chen
Keyword(s):  
Imaging System ◽  
Active Imaging

scholarly journals Influence of Atmospheric Propagation on Performance of Laser Active Imaging System

2011 ◽  
Vol 276 ◽  
pp. 012133
Author(s):  
LI Ying-chun ◽  
ZHAO Yun ◽  
SUN Hua-yan ◽  
GUO Hui-chao
Keyword(s):  
Imaging System ◽  
Atmospheric Propagation ◽  
Active Imaging

Research on long-range laser active imaging system applied in adverse weather conditions

2013 ◽  
Author(s):  
Zhi-gang Gai ◽  
Meng-de Liu ◽  
Li Yang ◽  
V. V. Kabanov ◽  
Lei Shi ◽  
...  
Keyword(s):  
Long Range ◽  
Imaging System ◽  
Weather Conditions ◽  
Adverse Weather Conditions ◽  
Adverse Weather ◽  
Active Imaging
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