Fine Classification of Urban Tree Species Based on UAV-Based RGB Imagery and LiDAR Data
Jingru Wu,
Qixia Man,
Xinming Yang
et al.
Abstract:Rapid and accurate classification of urban tree species is crucial for the protection and management of urban ecology. However, tree species classification remains a great challenge because of the high spatial heterogeneity and biodiversity. Addressing this challenge, in this study, unmanned aerial vehicle (UAV)-based high-resolution RGB imagery and LiDAR data were utilized to extract seven types of features, including RGB spectral features, texture features, vegetation indexes, HSV spectral features, HSV text… Show more
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