![]() ![]() These algorithms improve over existing methods for extracting streaking space object information from wide-angle images. The method for extracting the streak is then demonstrated against a sub-optimal method to show that the method extracts all observable information in the streak. Both an analytical and computational method for determining the appropriate number of segments are discussed. ![]() Next a method is discussed for information optimal streak extraction based on breaking an observed streak into constant intensity streak segments. This method is theoretically capable of less than 0.8 pixel residual error across the image assuming correct association between the observed stars and catalog. First, an empirical method for image calibration based on a Delaunay triangulation with vertices defined by observed and catalog star locations is outlined. Any modern (like Munipack default UCAC5) catalogue has more reference objects on medium crowded fields. Generally, the astrometry has recommended minimum of 7 stars, but ideal is over 20. This paper approaches both of these problems separately. The astrometry algorithm needs at least 5 stars (for 4 parameters) but has lower-count alternative with minimum of two stars. Additionally, the photometric intensity and corresponding uncertainty of a streaking object should be extracted in an information optimal manor. Popular methods for correcting for distortion assume basic symmetries in optical systems that may not be reflected in reality. Wide-angle lenses can introduce significant distortion into images. Calculate the actual field of view seen through the eyepiece. Extracting the astrometry and photometry of an observed object in an optical image can be complicated by a number of factors. ![]()
0 Comments
Leave a Reply. |