In the South Atlantic Anomaly (SAA) area, due to influence of transient noise caused by space radiation, a star sensor can easily stay in lost-in-space (LIS) mode for long time. To solve this problem, paper proposes fast identification (FSI) algorithm. First, suppression method based on scale assessment and neighborhood comparison is developed. Next, accurate search technique multiple main star...

We present a machine learning (ML) pipeline to identify star clusters in the multi{color images of nearby galaxies, from observations obtained with Hubble Space Telescope as part Treasury Project LEGUS (Legacy ExtraGalactic Ultraviolet Survey). StarcNet (STAR Cluster classification NETwork) is multi-scale convolutional neural network (CNN) which achieves an accuracy 68.6% (4 classes)/86.0% (2 c...

To determine attitude or direction with star constellations is perhaps the oldest method in the field of navigation and control. Besides its accuracy, star constellations can give three axis information by using just a single sensor, a digital CCD camera. What is very easy for men looking at the stars turns out to be complex if done by an onboard computer. The process of star identification can...

The author surveys algorithms used in star identification, commonly used in star trackers to determine the attitude of a spacecraft. Star trackers are a staple of attitude determination systems for most types of satellites. The paper covers: (a) lost-in-space algorithms (when no a priori attitude information is available), (b) recursive algorithms (when some a priori attitude information is ava...

let $d$ be an integral domain and $star$ a semistar operation stable and of finite type on it. we define the semistar dimension (inequality) formula and discover their relations with $star$-universally catenarian domains and $star$-stably strong s-domains. as an application, we give new characterizations of $star$-quasi-pr"{u}fer domains and um$t$ domains in terms of dimension ine...