Journal ArticleDOI
Space debris detection in optical image sequences.
TLDR
A high-accuracy, low false-alarm rate, and low computational-cost methodology for removing stars and noise and detecting space debris with low signal-to-noise ratio (SNR) in optical image sequences is presented.Abstract:
We present a high-accuracy, low false-alarm rate, and low computational-cost methodology for removing stars and noise and detecting space debris with low signal-to-noise ratio (SNR) in optical image sequences. First, time-index filtering and bright star intensity enhancement are implemented to remove stars and noise effectively. Then, a multistage quasi-hypothesis-testing method is proposed to detect the pieces of space debris with continuous and discontinuous trajectories. For this purpose, a time-index image is defined and generated. Experimental results show that the proposed method can detect space debris effectively without any false alarms. When the SNR is higher than or equal to 1.5, the detection probability can reach 100%, and when the SNR is as low as 1.3, 1.2, and 1, it can still achieve 99%, 97%, and 85% detection probabilities, respectively. Additionally, two large sets of image sequences are tested to show that the proposed method performs stably and effectively.read more
Citations
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Journal ArticleDOI
Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences
TL;DR: The proposed feature learning of candidate regions (FLCR) method has good performance when estimating and removing background, and it can detect low SNR space debris with high detection probability.
Journal ArticleDOI
Space Target Detection in Complicated Situations for Wide-Field Surveillance
TL;DR: The spatiotemporal pipeline filtering can effectively remove the streak images of background stars and obtain candidate points and pruned in the tree structure combined with these candidate trajectories by using velocity and direction feature of moving objects.
Journal ArticleDOI
Space target detection in optical image sequences for wide-field surveillance
TL;DR: The experimental results show that this high precision and low computational-cost space target detection method can effectively detect faint space targets in wide-field surveillance under a long exposure time.
Journal ArticleDOI
Stray Light Elimination Method Based on Recursion Multi-Scale Gray-Scale Morphology for Wide-Field Surveillance
TL;DR: Zhang et al. as mentioned in this paper proposed an accurate stray light elimination method based on recursion multi-scale gray-scale morphology (RMGM), which can make full use of the difference information between the target region and the surrounding background region.
Journal ArticleDOI
Effect Analysis of Optical Masking Algorithm for GEO Space Debris Detection
Sijie Kong,Jin Zhou,Wenli Ma +2 more
TL;DR: A method with high detection rate, low false-alarm rate, and low computational cost is presented for removing stars and noise and detecting space debris with signal-to-noise ratio (SNR>3) in consecutive raw frames.
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