The lost-in-space star identification algorithm is able to identify stars without a priori attitude
information and is arguably the most critical component of a star sensor system. In this …

This paper focuses on the opportunity to use multiple star trackers to help space situational
awareness and space surveillance. Catalogs of space debris around Earth are usually …

The paper focuses on the opportunity to use star sensors to help space situational
awareness and space surveillance. Catalogs of orbiting satellites around Earth are usually …

A lost-in-space star identification algorithm based on a one-dimensional Convolutional
Neural Network (1D CNN) is proposed. The lost-in-space star identification aims to identify …

Star identification is a key technology in the research of star sensors. As a classical star
pattern for identification, the radial pattern of a chosen star represents the geometric …

A full-sky star identification algorithm based on radial and dynamic cyclic patterns is
presented with the aim of solving the “lost-in-space” problem. The dynamic cyclic pattern …

This paper addresses the problem of star identification in the presence of high slew rates,
false objects and image deformations introduced by the rolling shutter. These problems can …

A fast and robust star identification algorithm is proposed in this paper. The algorithm is
derived from the grid algorithm but significantly improves the robustness by increasing the …

The detection of dim target in star image is a challenging task because of the low SNR target
and complex background. In this paper, we present a deep learning approach to detecting …

In the South Atlantic Anomaly (SAA) area, due to the influence of transient noise caused by
space radiation, a star sensor can easily stay in the lost-in-space (LIS) mode for a long time …