Article
Version 1
Preserved in Portico This version is not peer-reviewed
Weak Spatial Target Extraction Based on Small-Field Optical System
Version 1
: Received: 18 May 2023 / Approved: 19 May 2023 / Online: 19 May 2023 (10:57:42 CEST)
A peer-reviewed article of this Preprint also exists.
Zhang, X.; Liu, Y.; Duan, H.; Zhang, E. Weak Spatial Target Extraction Based on Small-Field Optical System. Sensors 2023, 23, 6315. Zhang, X.; Liu, Y.; Duan, H.; Zhang, E. Weak Spatial Target Extraction Based on Small-Field Optical System. Sensors 2023, 23, 6315.
Abstract
Compared to wide-field telescopes, small-field detection systems have higher spatial resolution, resulting in stronger detection capabilities and higher positioning accuracy. When detecting by small-field in synchronous orbit, both space debris and fixed stars are imaged as point targets, making it difficult to distinguish them. In addition, with the improvement of detection capabilities, the number of stars in the background rapidly increases, which puts higher requirements on recognition algorithms. Therefore, star detection is indispensable for identifying and locating space debris in complex backgrounds. To address these difficulties, this paper proposes a real-time star extraction method based on adaptive filtering and multi frame projection. We use bad point repair and background suppression algorithms to preprocess star image. Afterwards, we analyze and enhance the target signal-to-noise ratio(SNR). Then, we use multi frame projection to fuse information. Subsequently, adaptive filtering, adaptive morphology, and adaptive median filtering algorithms are proposed to detect trajectories. Finally, the projection is released to locate the target. Our recognition algorithm has been verified by real star images, and the images were captured using small-field telescope. The experimental results demonstrate the effectiveness of the algorithm proposed in this paper. We successfully extracted hip-27066 star, which has magnitudes about 12 and SNR about 1.5. Compared with existing methods, our algorithm has advantages in both recognition rate and false-alarm rate, and can be used as real time target recognition algorithm for space-based synchronous orbit detection payload.
Keywords
Small-field telescope; Space target detection; Image preprocessing; Target signal enhancement; Multi frame projection; Adaptive filtering
Subject
Engineering, Aerospace Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
