Automatic streak endpoint localization from the cornerness metric

Sease, Brad; Flewelling, Brien; Black, Jonathan

doi:10.1016/j.actaastro.2017.02.009

Cited by 14 publications

(3 citation statements)

References 13 publications

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“…In many space target detection systems, the use of optical images to detect and track space targets is still a difficult problem. Due to the large distance between the space target and the detector, the target imaging usually only covers a small number of pixels, which means that the target looks like a low-intensity point embedded in strong background clutter [12]. Therefore, although traditional feature-based target detection methods perform well under uniform background conditions, they may not be able to detect space targets under complex backgrounds, such as template matching [13,14], morphological operations [15,16,17], Threshold method [18,19], high-pass filtering [20], Hessian matrix [21,22].…”

Section: Related Workmentioning

confidence: 99%

STAR-24K: A Public Dataset for Space Common Target Detection

2022

KSII TIIS

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The target detection algorithm based on supervised learning is the current mainstream algorithm for target detection. A high-quality dataset is the prerequisite for the target detection algorithm to obtain good detection performance. The larger the number and quality of the dataset, the stronger the generalization ability of the model, that is, the dataset determines the upper limit of the model learning. The convolutional neural network optimizes the network parameters in a strong supervision method. The error is calculated by comparing the predicted frame with the manually labeled real frame, and then the error is passed into the network for continuous optimization. Strongly supervised learning mainly relies on a large number of images as models for continuous learning, so the number and quality of images directly affect the results of learning. This paper proposes a dataset STAR-24K (meaning a dataset for Space TArget Recognition with more than 24,000 images) for detecting common targets in space. Since there is currently no publicly available dataset for space target detection, we extracted some pictures from a series of channels such as pictures and videos released by the official websites of NASA (National Aeronautics and Space Administration) and ESA (The European Space Agency) and expanded them to 24,451 pictures. We evaluate popular object detection algorithms to build a benchmark. Our STAR-24K dataset is publicly available at https://github.com/Zzz-zcy/STAR-24K.

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Section: Related Workmentioning

confidence: 99%

STAR-24K: A Public Dataset for Space Common Target Detection

2022

KSII TIIS

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“…Since the length of streaks in ISS images are mostly shorter than 100 pixels, the method is not suitable for ISS images. Sease et al (2017) offered a method to automatically locate two endpoints of one streak according to corner metrics. But, the centering method of streak was not provided, and the endpoints locating method was tested only on the simulated images.…”

Section: Introductionmentioning

confidence: 99%

Astrometric Reduction of Saturnian Satellites with Cassini-ISS Images Degraded by Trailed Stars

Liu¹,

Li²,

Wu³

et al. 2023

Preprint

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Imaging Science Subsystem (ISS) mounted on the Cassini spacecraft has taken a lot of images, which provides an important source of high-precision astrometry of some planets and satellites. However, some of these images are degraded by trailed stars. Previously, these degraded images cannot be used for astrometry. In this paper, a new method is proposed to detect and compute the centers of these trailed stars automatically. The method is then performed on the astrometry of ISS images with trailed stars. Finally, we provided 658 astrometric positions between 2004 and 2017 of several satellites that include Enceladus, Dione, Tethys, Mimas and Rhea. Compared with the JPL ephemeris SAT427, the mean residuals of these measurements are 0.11 km and 0.26 km in right ascension and declination, respectively.Their standard deviations are 1.08 km and 1.37 km, respectively. The results show that the proposed method performs astrometric measurements of Cassini ISS images with trailed stars effectively.

show abstract

“…Since the length of streaks in ISS images are mostly shorter than 100 pixels, the method is not suitable for ISS images. Sease et al (2017) offered a method to automatically locate two endpoints of one streak according to corner metrics. However, the centering method of streak was not provided, and the endpoints locating method was tested only on the simulated images.…”

Section: Introductionmentioning

confidence: 99%

Astrometric Reduction of Saturnian Satellites with Cassini-ISS Images Degraded by Trailed Stars

Liu

et al. 2023

Res. Astron. Astrophys.

View full text Add to dashboard Cite

Imaging Science Subsystem (ISS) mounted on Cassini spacecraft has taken a lot of images, which provides an important source of high-precision astrometry of some planets and satellites. However, A part of these images are degraded by trailed stars. Previously, these degraded images cannot be used for astrometry. In this paper, a new method is proposed to detect and compute the centers of these trailed stars automatically. The method is then performed on the astrometry of ISS images with trailed stars. Finally, we provided 658 astrometric positions between 2004 and 2017 of several satellites that include Enceladus, Dione, Tethys, Mimas and Rhea. Compared with the JPL ephemeris SAT427, the mean residuals of these measurements are 0.11 km and 0.26 km in right ascension and declination, respectively. Their standard deviations are 1.08 km and 1.37 km, respectively. The results show that the proposed method perform astrometric measurements of Cassini ISS images with trailed stars effectively.

show abstract

Automatic streak endpoint localization from the cornerness metric

Cited by 14 publications

References 13 publications

STAR-24K: A Public Dataset for Space Common Target Detection

STAR-24K: A Public Dataset for Space Common Target Detection

Astrometric Reduction of Saturnian Satellites with Cassini-ISS Images Degraded by Trailed Stars

Astrometric Reduction of Saturnian Satellites with Cassini-ISS Images Degraded by Trailed Stars

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