Name
Abstract | ||
|---|---|---|
Abstract In this document, we describe a simple autonomous star identi- fication algorithm which is effective using,a narrow field of view,(2 degrees), making the use of a science camera for star identification feasible. This work extends that of Padgett and Kreutz-Delgado [8] by setting decision thresholds using Bayesian decision theory.,Our simulations show that when positional accuracy of imaged stars is 0.5 pixel (standard deviation) and the apparent brightness deviates by 0.8 unit stellar magnitude, the algorithm correctly identifies 96.0% of the sensor orientations, with less than a 0.3% rate of false positives. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/7.869495 | IEEE Trans. Aerospace and Electronic Systems |
Keywords | Field | DocType |
Bayesian methods,Decision theory,Space vehicles,Instruments,Sun,Propulsion,Cameras,Image sensors,Position measurement,Space missions | Field of view,Control theory,Artificial intelligence,Decision theory,Bayes estimator,Computer vision,Algorithm,Apparent magnitude,Pixel,Standard deviation,Brightness,Mathematics,Bayesian probability | Journal |
Volume | Issue | ISSN |
36 | 3-1 | 0018-9251 |
Citations | PageRank | References |
10 | 1.49 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel S. Clouse | 1 | 34 | 2.84 |
| Curtis W. Padgett | 2 | 39 | 3.65 |