基于标记控制分水岭分割方法的高分辨率遥感影像单木树冠提取  

Individual Tree Crown Extraction of High Resolution Image Based on Marker-controlled Watershed Segmentation Method

作　　者：郭昱杉 刘庆生[1] 刘高焕[1] 黄翀[1] GUO Yushan LIU Qingsheng LIU Gaohuan HUANG Chong(State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China University of Chinese Academy of Sciences, Beijing 100049, China)

机构地区：[1]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101 [2]中国科学院大学,北京100049

出　　处：《地球信息科学学报》2016年第9期1259-1266,共8页Journal of Geo-information Science

基　　金：国家科技支撑计划项目(2013BAD05B03);中国科学院战略性先导专项项目(XDA05050601);国家自然科学基金项目(41023010;41271407)

摘　　要：树冠是树木的重要组成,可以直接反映树木健康状况。高空间分辨率遥感影像和遥感技术为快速获取详细的树冠信息和实时监测林冠变化提供了有效的途径。因此,基于高空间分辨率遥感影像的单木树冠提取方法研究对现代森林管理具有重要意义。本文以黄河三角洲地区孤岛林场人工刺槐林和旱柳为研究对象,以Quick Bird影像为数据源,首先利用面向对象方法实现研究区林地和非林地分类;然后以林地为掩膜,提取出树冠分布范围;在此基础上,分别选取疏林区和密林区为试验区域,通过形态学开闭重建滤波,平滑图像,去除噪声;最后,利用标记控制分水岭分割方法分别对疏林区和密林区进行树冠提取。本文以人工勾绘结果为参考进行精度验证,结果显示疏林区F测度达到87.8%,密林区F测度达到65.5%,表明该提取方法简单易行,精度可靠。Since the 1990s, a large number of trees in the Gudao forest area have been threatened by both the natural and human ef- fects, which caused huge losses to the forestry development of the Yellow River Delta. Therefore, the more detailed and timely in- formation of forests is required for improving the local forest management and ecosystem monitoring. Individual tree crown delinea- tion has been demonstrated to be an efficient way to carry out forestry inventories at a fine scale, as the tree crown serves as the ba- sic unit for biomass measurement, species recognition, or health monitoring, etc. The increasing availability and affordability of high spatial resolution remote sensing images provides great potential for accurately characterizing the tree crown. Current tree crown extraction methods based on the imagery were easily interfered by the background objects, especially when there were mix- tures of trees, shrubs and grass. A conventional watershed segmentation approach could cause over-segmentation of the imagery be- cause the branches in the imagery are similar to some small tree crowns in shape and scale. To overcome such issues, a new tree crown extraction method based on the object-oriented extraction and the marker-controlled watershed segmentation with the mor- phological filtering was presented in this paper to extract the individual tree crown from high spatial resolution image. Firstly, the tree crown area was separated from the background using the object-oriented method. After that, the morphological opening and closing operators were employed to smooth the image and remove the noises from the image. Then, we located the tree tops by de- tecting the local maximum. These tree tops were recognized as markers for the subsequent segmentation. Finally, the tree crowns were delineated through the marker-controlled watershed method. Based on the QuickBird image, we applied this method to the deciduous tree crown delineation of Gudao forest area in the Yellow River Delta, Both the sparse forest area and

关 键 词：QUICKBIRD 树冠提取 面向对象分类 标记控制分水岭 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]