Abstract: In the era of artificial intelligence (AI) and deepening the development of the remote sensing industry, the training of remote sensing professionals needs to keep pace with the times and improve the ability of AI applications. Aiming at the current situation and existing problems of patterning recognition teaching as one of the core AI courses of remote sensing and technology, an application-oriented pattern recognition course construction idea is proposed for remote sensing major. Specifically, a teaching program is designed to improve the ability of AI applications from two aspects of teaching and practice content. From the results of teaching feedback, the teaching ideas proposed in this paper have stimulated students' interest in pattern recognition course and improved their ability to use pattern recognition methods in interpreting remote sensing information.

Key words: artificial intelligence, remote sensing, talent training, pattern recognition, teaching