Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12507
Title: Detection method for small and dim targets from a time series of images observed by a space-based optical detection system
Authors: Pan, HB
Song, GH
Xie, LJ
Zhao, Y
Keywords: Cataloged space targets
Space optical detection sensor
Target detection
Target tracking mode
Time series images
Issue Date: 2014
Publisher: Optical Society of Japan
Source: Optical review, 2014, v. 21, no. 3, p. 292-297 How to cite?
Journal: Optical review 
Abstract: To revisit cataloged space targets, a space-based optical detection system normally observes space targets continuously in a target tracking mode. In the time series of images produced by continuous observation, there are not only the target but also complicated background clutter (a mass of stars) and noises. The existing method only can detect the target with an signal-to-noise ratio (SNR) greater than 6 from these images. This paper presents a detection method for the target with an SNR less than 6. The proposed method consists of an SNR enhancement algorithm and an adaptive background and noise suppression algorithm. Simulation and analytical results show the proposed method detects the target submerged in noise and background clutter when SNR is equal to 3 and the detection probability and the false alarm probability both reach very high performance. This proposed method can help solve the problem of revisiting some weak cataloged space targets.
URI: http://hdl.handle.net/10397/12507
ISSN: 1340-6000
EISSN: 1349-9432
DOI: 10.1007/s10043-014-0044-7
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