An Adaptive Method for Star Extraction from Digital Astronomical Images

Abstract

Celestial positioning has been used for navigation purposes for many years. Stars as the extra-terrestrial benchmarks provide unique opportunity in absolute point positioning. However, astronomical field data acquisition and data processing of the collected data is very time-consuming. The advent of the Global Positioning System (GPS) nearly made the celestial positioning system obsolete. The new satellite-based positioning system has been very popular since it is very efficient and convenient for many daily life applications. Nevertheless, the celestial positioning method is never replaced by satellite-based positioning in absolute point positioning sense.The invention of electro-optical devices at the beginning of the 21st century was really a rebirth in geodetic astronomy. Today, the digital cameras with relatively high geometric and radiometric accuracy has opened a new insight in satellite attitude determination and the study of the Earth’s surface geometry and physics of its interior, i.e., computation of astronomical coordinates and the vertical deflection components. In the automatic star detection, high precision and reliable in extraction of the star’s centers from the captured images and corresponding them with the astronomical coordinates is the most important point. In this article, the star’s centers are extracted by the advanced image processing technique with sub-pixel precision. Relating the parameters of the presented technique to star’s Mag is one of it’s exclusive properties

Keywords

• psf
• photometry
• geodetic astronomy
• digital astronomical images
• scale space
• differential of gaussian
• low pass filter
• sift