Share Email Print
cover

Proceedings Paper

Structural dynamics analysis of dual-channel multi-spectral remote sensing camera
Author(s): Nan Zhang; Junlei Chang; Qinglin Li
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Compared with the traditional single-channel multi-spectral remote sensing camera, the multi-spectral remote sensing camera with dual-channel imaging can capture more spectral information of spectral segments. In order to make the dual-channel multi-spectral remote sensing camera image well in various complex mechanical environments, the structural dynamic analysis of the camera was carried out. First, the optical system and structural composition of the two-channel camera are introduced. After that, using the Patran finite element analysis software, based on the establishment of the finite element model, the modal analysis, overload adaptability analysis and random vibration analysis of the camera were carried out. According to the analysis results, a damping isolator is added to each mounting foot of the camera, which effectively reduces the random vibration response of the camera's key measuring points. Finally, the mechanical environment test of the camera is carried out. The results of finite element analysis and test are in good agreement, which verifies the correctness of the analysis and calculation results. It shows that the dynamic performance of the dual-channel multi-spectral remote sensing camera with the outer envelope size of 1500×1500×1000mm meets the design requirements.

Paper Details

Date Published: 18 December 2019
PDF: 10 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113381H (18 December 2019); doi: 10.1117/12.2543922
Show Author Affiliations
Nan Zhang, Beijing Institute of Space Mechanics and Electricity (China)
Junlei Chang, Beijing Institute of Space Mechanics and Electricity (China)
Qinglin Li, Beijing Institute of Space Mechanics and Electricity (China)


Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray