Tree species automatic identification and parameter measurement method and system

Abstract

This invention provides a method and system for automatic tree species identification and parameter measurement, belonging to the field of tree species identification and measurement technology. The method includes: S1: Data preprocessing, specifically including: S1-1: Automatic initial segmentation and manual collaborative refinement; S1-2: Interactive label assignment and sample generation. This invention optimizes the data preprocessing algorithm, addressing pain points such as noise discrimination, terrain fitting, and format compatibility; develops an adaptive single-tree segmentation algorithm to improve adaptability to dense forest areas and tree species versatility; constructs a high-precision parameter extraction model, unifies parameter definitions, and optimizes morphological fitting logic to enhance tree species classification capabilities; designs lightweight functions and a highly adaptable architecture to lower the operational threshold, improve parallel processing efficiency and hardware compatibility; and supplements an anomaly handling mechanism for extreme scenarios to broaden the software's applicability, ultimately achieving deep integration of the technology with practical forestry applications and fully releasing the value of laser point cloud technology in forest resource surveys.

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