Image-based noise filtering method for Geiger-mode APD array Lidar data

Yongqiang Chen; Yan He; Yuan Luo; Fanghua Liu; Chongmiao Jiao; Shouchuan Guo; Yifan Huang; Weibiao Chen

doi:10.1117/12.2606406

1 November 2021 Image-based noise filtering method for Geiger-mode APD array Lidar data

Yongqiang Chen, Yan He, Yuan Luo, Fanghua Liu, Chongmiao Jiao, Shouchuan Guo, Yifan Huang, Weibiao Chen

Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 120573B (2021) https://doi.org/10.1117/12.2606406
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China

Abstract

Single-photon counting Lidar (SPL) systems using Geiger mode Avalanche Photo Diode (Gm-APD) arrays are more sensitive than traditional linear mode Lidar systems and are capable to detect the sparse target-returned photon less than single photon. However the single-photon sensitivity of SPL system also make it susceptible to solar background light which is a major noise source of SPL data. The relatively high noise level of SPL systems poses a significant challenges to the noise filter processing of measured data. In this paper, two image based noise filtering methods: K-Nearest- Neighbor (KNN) filtering method and Single Frame Histogram (SFH) filtering method were proposed, to reduce the noise points in Gm-APD array Lidar data. In these methods, noise points were removed through raw image data processing. We count the number of corresponding time of flight data points in single frame image and remove the noise points from signal through a predefined threshold. The noise filtering results of the two proposed methods were analyzed and compared based on raw data obtained from our 64×64 Gm-APD array Lidar imaging experiment. The noise filtered image results show that more than 90% of the noise points in single frame data has been removed. Finally, the noise filtered image data was further processed to get the cleaned 3D images. The results indicates that the proposed imagebase noise filtering methods is suitable for the noise reduction processing of our (Gm-APD) array Lidar data.

Citation Download Citation

Yongqiang Chen, Yan He, Yuan Luo, Fanghua Liu, Chongmiao Jiao, Shouchuan Guo, Yifan Huang, and Weibiao Chen "Image-based noise filtering method for Geiger-mode APD array Lidar data", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 120573B (1 November 2021); https://doi.org/10.1117/12.2606406

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image filtering

LIDAR

Imaging systems

3D image processing

Image processing

Target detection

3D acquisition

Show All Keywords

Keywords/Phrases

Search In:

Publication Years