A Two-region Push-broom Imaging Method for Remote Sensing Moving Object Detection

被引：0
|
作者：
Zhang L. [1 ]
Qi X. [1 ]
Li G. [1 ]
Wang W. [1 ]
Lyu X. [1 ]
机构：
[1] College of Instrumentation & Electrical Engineering, Jilin University, Changchun
来源：
Yuhang Xuebao/Journal of Astronautics | 2024年 / 45卷 / 04期
关键词：
Moving object detection; Push-broom imaging; Space remote sensing; Spaceborne camera;
D O I：
10.3873/j.issn.1000-1328.2024.04.015
中图分类号：
学科分类号：
摘要：
Aiming at the problems of high cost，poor temporal and spatial synchronization and low detection accuracy in the detection of ground moving targets by spaceborne dual array cameras，a push-broom imaging method of dual-region linear array camera based on single array CMOS is proposed. CMOS time delayed and integration（TDI）technology is used to window at a fixed position interval to realize dual-region push-broom imaging. For the two-channel data，sequential mode image acquisition is performed to form two independent and complete long strip images. The motion characteristics of high-speed moving targets are detected and analyzed by establishing the time and position functions of the dual-region linear TDI camera. Based on the principle of satellite push-broom earth imaging，a TDI push-broom imaging experimental device is designed and built to detect the velocity of high-speed moving targets. The experimental results show that when the resolution of CMOS pixel is 4 096×3 072，the field of view angle is 16°0'34″，the line frequency is 998 Hz，and the window interval is 3 056 rows，the absolute velocity error is less than 0. 445%，and the image motion velocity error is 2. 323 pixel/s，which ensures spatiotemporal synchronization，improves the detection accuracy，and verifies the feasibility of the method. © 2024 Chinese Society of Astronautics. All rights reserved.
引用
收藏
页码：638 / 646
页数：8
相关论文
共 31 条
  • [21] ALI M A, Et al., Assessment of micro-vibrations effect on the quality of remote sensing satellites images［J］, International Journal of Image and Data Fusion, 14, 3, pp. 243-260, (2023)
  • [22] NAN Yibing, NI Guoqiang, Simulation analysis & experimental study of the effects of satellite vibration frequency and amplitude on hyperspectral image［J］, Spectroscopy and Spectral Analysis, 36, 10, pp. 3226-3231, (2016)
  • [23] JIA Yuandong, QIANG Jia, ZHANG Liang, Et al., Spaceborne long-distance tracking method based on adaptive vibration suppression［J］, Acta Optica Sinica, 40, 22, pp. 129-139, (2020)
  • [24] GENG Yunhai, HOU Zhili, HUANG Simeng, A method of angular acceleration trajectory planning to suppress residual vibrations of flexible satellite［J］, Journal of Astronautics, 37, 12, pp. 1323-1330, (2016)
  • [25] LI Mingqun, LEI Yongjun, MU Xiaogang, Satellite attitude control method and physical test with load disturbance suppression［J］, Chinese Space Science and Technology, 39, 1, pp. 73-77, (2019)
  • [26] Design of a ultra-stable low-noise space camera based on a large target CMOS detector and image data analysis［J］, Sensors, 22, 24, (2022)
  • [27] CHEN Fansheng, ZHU Hongtai, SUN Shengli, The application of CMOS ROI for APS star sensor［J］, Infrared Technology, 28, 6, pp. 361-364, (2006)
  • [28] TAO Shuping, FENG Qinping, CHEN Xiaolong, Et al., Dynamic MTF modeling and analysis of digital domain TDI CMOS remote sensing camera［J］, Chinese Optics, 15, 5, pp. 983-991, (2022)
  • [29] XIE Bing, JIAO Binliang, The PSF estimation method and image restoration algorithm based on image-motion analysis of spaceborne TDICCD camera［J］, Journal of Astronautics, 31, 3, pp. 936-940, (2010)
  • [30] YU Pengwei, REN Yong, FENG Peng, Et al., Design of Gigabit Ethernet CMOS image data transmission system based on FPGA ［J］, Foreign Electronic Measurement Technology, 35, 11, pp. 76-81, (2016)
1234