|
|
|
| A Quality Classification Method for Star Sensor Based on Gray-Scale Distribution Characteristics of Star Maps |
| LIAN Peng1， YANG Jidong1， YE Songhang2， ZHAN Xiaomin2 |
| 1. Shanghai Basic Research Institute of Aerospace Technology， Shanghai 201109， China；
2. Shanghai Aerospace Control Technology Institute， Shanghai 201109， China |
|
|
|
|
Abstract The traditional manual interpretation methods for star sensor imaging images are ineffective and limit manual interpretation of product quality information, which can lead to low reliability, usability, and recognition efficiency. Based on the structural principle of star sensors, this paper employed threshold denoising for star images. It constructed a product quality feature model using the grayscale distribution characteristics of multiple denoised star maps. Combined with the principle of optical aberration imaging, this model established a product quality classification model to satisfy the intelligent classification requirements for product assembly quality, interpreting product quality information as more reliable, operable, and usable, effectively reducing production costs and time.
|
|
Received: 22 July 2024
Published: 23 May 2025
|
|
|
|
|
|
| [1] |
XIAO Pengfei, NI He, JIN Jiashan. Sequential Prediction Method of Single Parameter for Thermal System Based on MWSA[J]. Journal of Shanghai Jiao Tong University, 2023, 57(1): 36-44. |
| [2] |
JIN Guangrui, WANG Aihua, LI Cong, SUN Jifu. High-Precision Distortion Calibration Method Based on Dropout Method[J]. Air & Space Defense, 2021, 4(4): 67-73. |
| [3] |
WANG Chaoran (王超然), BAO Qilian (鲍其莲), ZHENG Xunjiang (郑循江), SUN Shuodong (孙朔冬). Research on Motion Estimation Algorithm of Star Point Based on Nonlinear Gaussian Fitting[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(4): 562-. |
|
|
|
|
2025, Vol. 8 
