Limits...
A low cost automatic detection and ranging system for space surveillance in the medium Earth orbit region and beyond.

Danescu R, Ciurte A, Turcu V - Sensors (Basel) (2014)

Bottom Line: The telescopes are pointed towards any visible region of the sky, and the system is able to automatically calibrate the orientation parameters using automatic matching of reference stars from an online catalog, with a very high tolerance for the initial guess of the sky region and camera orientation.The difference between the left and right image of a synchronized stereo pair is used for automatic detection of the satellite pixels, using an original difference computation algorithm that is capable of high sensitivity and a low false positive rate.The use of stereovision provides a strong means of removing false positives, and avoids the need for prior knowledge of the orbits observed, the system being able to detect at the same time all types of objects that fall within the measurement range and are visible on the image.

View Article: PubMed Central - PubMed

Affiliation: Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, Cluj-Napoca 400114, Romania. radu.danescu@cs.utcluj.ro.

ABSTRACT
The space around the Earth is filled with man-made objects, which orbit the planet at altitudes ranging from hundreds to tens of thousands of kilometers. Keeping an eye on all objects in Earth's orbit, useful and not useful, operational or not, is known as Space Surveillance. Due to cost considerations, the space surveillance solutions beyond the Low Earth Orbit region are mainly based on optical instruments. This paper presents a solution for real-time automatic detection and ranging of space objects of altitudes ranging from below the Medium Earth Orbit up to 40,000 km, based on two low cost observation systems built using commercial cameras and marginally professional telescopes, placed 37 km apart, operating as a large baseline stereovision system. The telescopes are pointed towards any visible region of the sky, and the system is able to automatically calibrate the orientation parameters using automatic matching of reference stars from an online catalog, with a very high tolerance for the initial guess of the sky region and camera orientation. The difference between the left and right image of a synchronized stereo pair is used for automatic detection of the satellite pixels, using an original difference computation algorithm that is capable of high sensitivity and a low false positive rate. The use of stereovision provides a strong means of removing false positives, and avoids the need for prior knowledge of the orbits observed, the system being able to detect at the same time all types of objects that fall within the measurement range and are visible on the image.

No MeSH data available.


Related in: MedlinePlus

Satellite pixels, validated by area analysis. Detection results on the left image (a) and on the right image (b).
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3958257&req=5

f12-sensors-14-02703: Satellite pixels, validated by area analysis. Detection results on the left image (a) and on the right image (b).

Mentions: It can be seen from Figure 11 that even if the satellite's pixels are clearly identified, they are not the only pixels that have passed the established conditions. Fortunately, the other non-false pixels are usually isolated, while the pixels belonging to the satellite are grouped together into larger clusters. For this reason, a simple connected component identification process (binary image labeling) is applied, and the clusters with a pixel count of less than 10 pixels are excluded. Figure 12 shows the remaining pixels, after labeling and area based validation, for the left image as foreground (the situation for which all the processing steps have been described), and also for the right image as foreground (results obtained by executing the same algorithm steps, with the right image as the foreground and the warped left image as background).


A low cost automatic detection and ranging system for space surveillance in the medium Earth orbit region and beyond.

Danescu R, Ciurte A, Turcu V - Sensors (Basel) (2014)

Satellite pixels, validated by area analysis. Detection results on the left image (a) and on the right image (b).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3958257&req=5

f12-sensors-14-02703: Satellite pixels, validated by area analysis. Detection results on the left image (a) and on the right image (b).
Mentions: It can be seen from Figure 11 that even if the satellite's pixels are clearly identified, they are not the only pixels that have passed the established conditions. Fortunately, the other non-false pixels are usually isolated, while the pixels belonging to the satellite are grouped together into larger clusters. For this reason, a simple connected component identification process (binary image labeling) is applied, and the clusters with a pixel count of less than 10 pixels are excluded. Figure 12 shows the remaining pixels, after labeling and area based validation, for the left image as foreground (the situation for which all the processing steps have been described), and also for the right image as foreground (results obtained by executing the same algorithm steps, with the right image as the foreground and the warped left image as background).

Bottom Line: The telescopes are pointed towards any visible region of the sky, and the system is able to automatically calibrate the orientation parameters using automatic matching of reference stars from an online catalog, with a very high tolerance for the initial guess of the sky region and camera orientation.The difference between the left and right image of a synchronized stereo pair is used for automatic detection of the satellite pixels, using an original difference computation algorithm that is capable of high sensitivity and a low false positive rate.The use of stereovision provides a strong means of removing false positives, and avoids the need for prior knowledge of the orbits observed, the system being able to detect at the same time all types of objects that fall within the measurement range and are visible on the image.

View Article: PubMed Central - PubMed

Affiliation: Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, Cluj-Napoca 400114, Romania. radu.danescu@cs.utcluj.ro.

ABSTRACT
The space around the Earth is filled with man-made objects, which orbit the planet at altitudes ranging from hundreds to tens of thousands of kilometers. Keeping an eye on all objects in Earth's orbit, useful and not useful, operational or not, is known as Space Surveillance. Due to cost considerations, the space surveillance solutions beyond the Low Earth Orbit region are mainly based on optical instruments. This paper presents a solution for real-time automatic detection and ranging of space objects of altitudes ranging from below the Medium Earth Orbit up to 40,000 km, based on two low cost observation systems built using commercial cameras and marginally professional telescopes, placed 37 km apart, operating as a large baseline stereovision system. The telescopes are pointed towards any visible region of the sky, and the system is able to automatically calibrate the orientation parameters using automatic matching of reference stars from an online catalog, with a very high tolerance for the initial guess of the sky region and camera orientation. The difference between the left and right image of a synchronized stereo pair is used for automatic detection of the satellite pixels, using an original difference computation algorithm that is capable of high sensitivity and a low false positive rate. The use of stereovision provides a strong means of removing false positives, and avoids the need for prior knowledge of the orbits observed, the system being able to detect at the same time all types of objects that fall within the measurement range and are visible on the image.

No MeSH data available.


Related in: MedlinePlus