摘要
基于Web of science数据库检索平台,应用科学引文分析方法对检索到的1355篇2000年以来激光雷达技术在林学上的应用的文章进行了全面分析,主要涉及发表年份、国家分布、作者排行、期刊分布、作者单位分布、提取参数等,对该领域所涉及到的主要国际国内会议进行了总结。分析了激光雷达的主要传感器类型和2种数据结构(波形和点云),系统总结了主要森林参数的提取方法,包括波形分析、点云分析、参数预测和数据融合。分析认为:激光雷达技术的林学应用研究的深度和广度均呈现快速上升趋势,研究方法渐成体系,有系统化的国际会议;但研究水平的地域差异较大,参数提取的机理性、实用性不足,尚未达到成熟,还有很大的提升空间。最后,从理论、应用及组织3个方面提出了建议。
The research progress of LiDAR technology on forestry science studies was comprehensively discovered using literature analysis based on the Web of science platform. One thousand and 355 related papers since year 2000 were found and used for statistics, including year trend, regional distribution, author ranking, journal distribution, institution of authors, and major forest parameters. The principal international and internal conferences on forestry LiDAR applications were also summarized. The main types of LiDAR sensors were classified; and two data structures were proposed （waveform and point cloud）. The methods to extract forest parameters from LiDAR were systematically analyzed, including waveform analysis, point cloud analysis, forest parameter prediction and data fusion. We conclude that the depth and breadth of LiDAR application studies over forestry science are keeping increasing; research methods are becoming a system; there are systematic international conferences; but research level varies with region; mechanism and practicability to extract forest parameters are inadequate from maturity, which leaves room for improvements. Finally, suggestions on theory, application and organization studies on LiDAR applications on forestry were proposed to provide a kind of reference for related researchers and workers.
出处
《北京林业大学学报》
CAS
CSCD
北大核心
2013年第4期134-143,共10页
Journal of Beijing Forestry University
基金
林业公益性行业科研专项(201104040-2)
教育部新世纪优秀人才支持计划项目(NCET-10-0230)
国家自然科学基金项目(41171278)
