摘要
用高空间分辨率遥感影像对单木树冠进行自动提取和轮廓描绘,是获取森林信息的一种快速有效的方法,也是近年来林业遥感领域研究的热点。详细介绍了目前高分辨率遥感单木树冠信息自动提取的各种方法,包括局部最大值法、模板匹配法、谷地跟踪法、多尺度法、种子区域生长法、分水岭分割法、局部射线法,并对单木树冠提取在林业上的应用进行了探讨,最后结合国内外研究现状,对单木树冠自动提取的未来作了展望。
Automatic extraction and delineation of individual tree crown using high spatial resolution remote sensing is an efficient method to obtain forest information, and is also a hot issue in forest remote sensing research. In this article, different approaches of individual tree crown extraction were introduced in details, including local maxima, template matching, valley-following, multiple scale, seeded region growing, watershed segmentation, local transects. The application of individual tree crown extraction in the field of forestry was concluded. Finally, combined with current international research progress, the future of automatic extraction of individual tree crown was expected. [ Ch, 51 rcf. ]
出处
《浙江林学院学报》
CSCD
北大核心
2010年第1期126-133,共8页
Journal of Zhejiang Forestry College
基金
国家自然科学基金资助项目(40771141)
中央级公益性科研院所基本科研业务费专项基金资助项目(RIFRITZJZ2007006)
关键词
森林经理学
高空间分辨率
树冠提取
谷地跟踪法
局部最大值
多尺度
模板匹配
综述
management
high spatial resolution
tree crown extraction
valley-following approach
local maxima
multiple scale
template matching
review