Feature extraction method of large-scale landscape tree based on airborne laser data

Abstract

Aiming at the problems of fuzzy feature extraction and poor definition of large-scale landscape trees, a large-scale landscape tree feature extraction method based on airborne laser data is proposed. We use airborne laser data to obtain landscape tree images through image acquisition equipment, collect landscape tree spatial structure feature data, and classify landscape tree spatial structure feature categories. In this paper, a new landscape tree feature model is obtained through airborne laser data technology, so that all landscape tree feature points are independent of each other, so as to quickly achieve the goal of feature extraction. Finally, the large-scale landscape tree feature extraction method based on airborne laser data has significantly higher accuracy and recognition efficiency in practical application, which fully meets the research requirements.