摘要
随着激光雷达技术的发展,近几年对小光斑全波形激光雷达数据处理方法及其应用的研究已成为国内外相关领域关注的热点。文中阐述小光斑全波形激光雷达的组成及数据特点,介绍波形数据的处理流程,并在此基础上概述小光斑全波形激光雷达波形数据在林业中的应用;基于国内外研究现状,详细论述了波形分解和提取森林结构参数的理论及方法,分析了小光斑全波形激光雷达波形数据处理的局限性及其在林业中的应用前景。
As Light Detection and Ranging (LiDAR) technology develops, the small-footprint full-waveform LiDAR data processing and its application have been hot topics in related fields in past years. The processing flow for waveform decomposition was introduced with the focus on the components and data feature of airborne small-footprint full-waveform LiDAR, and it application to forestry was also summarized. Based on the current research status, the paper discussed the theory and methods for waveform decomposition and forest structural parameter extraction. In the end, the limitations of data processing using small-footprint full- waveform LiDAR waveform were described, and its application to forestry is also prospected.
出处
《世界林业研究》
CSCD
北大核心
2015年第3期42-46,共5页
World Forestry Research
基金
国家自然科学基金面上项目(41171274)
中央高校基本科研业务费专项(DL12EB07)
关键词
小光斑全波形激光雷达
波形预处理
波形分解
森林结构参数
airborne small-footprint full-waveform LiDAR, waveform preprocessing, waveform decomposition, forest structure parameter