To realize the quantitative measurement on infrared radiation of space objects, astronomical calibration of star radiation measurement system needs to be addressed. Considering the deficiencies of traditional ground-based large-aperture infrared radiation measurement systems in star calibration, we proposed a novel infrared radiation measurement system which contains four parts: the star observation unit, the infrared star measurement unit, the information processing unit, and the computing unit. Through optimal design of the radiation measurement system, we achieve effective distinction of target and complex backgrounds, and precise calculation of target infrared radiation.
Abstract Space debris detection is important for space asset protection and space situational awareness. The current environment of man-made satellites and space debris objects in Earth orbits increases rapidly, so does the probability of collision between them. In this paper, we propose a space debris detection method based on image alignment and connected region analysis. First, the median filter and an improved top-hat filter are used for pre-process of the original images, which can eliminate thermal noises and improve optical distribution integrity of targets. Second, a feasible and easy-to-implement connected region labeling method is used for centroid extraction of suspected targets. Meanwhile, several saliency features of targets are used for suspected targets confirmation and false alarms elimination. Then, we use stars in high-brightness magnitude as feature points for accurate interframe registration, which can suppress the influence of platform shaking and background movement on dim target trajectory associations. Finally, data association is used for target trajectory extraction. The experiment is performed using one astronomical image sequence, the results show that the proposed method is robust and efficient on complex backgrounds.
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