This paper presents a satellite tracking method based on optical celestial images. The proposed method is composed of two acquiring modes that are called Sidereal Stare Mode (SSM) and Track Rate Mode (TRM). To track the unknown satellites, first of all the entire of the sky is observed and the primary knowledge of the satellite location is predicted in SSM. Then, the measured pointing data is c...

Typhoon inflicts terrible damage due to thunderstorms, violent winds, torrential rain, flooding and extreme high tides. Improving the early typhoon forecast capability is important for the disaster prevention. In recent years, many scholars have made efforts in typhoon center location, typhoon intensity estimation and moving path prediction from the satellite images. Moreover, it may be useful ...

Usage of multispectral satellite imaging data opens vast possibilities for monitoring and quantitatively assessing properties or objects interest on a global scale. Machine learning computer vision (CV) approaches show themselves as promising tools automatizing image analysis. However, there are limitations in using CV data. Mainly, the crucial one is amount available model training. This paper...

Context. Nowadays, information technologies are widely used in digital image processing. The task of joint processing satellite obtained by different space systems that have spatial differences is important. already known pansharpening methods to improve the quality resulting image, there new scientific problems associated with increasing requirements for high-resolution and development automat...