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遥感技术与应用  2017, Vol. 32 Issue (5): 875-882    DOI: 10.11873/j.issn.1004-0323.2017.5.0875
遥感应用     
机载LiDAR高差和高分影像的城市树冠提取比较
卜帆,石玉立
(南京信息工程大学 地理与遥感学院,江苏 南京 210044)
The Comparison of Urban Tree Crown Extraction based on Airborne LiDARElevation Difference and High Resolution Imagery
Bu Fan,Shi Yuli
(School of Geography and Remote Sensing,Nanjing Universityof Information Science&Technology,Nanjing,210044,China)
 全文: PDF(9559 KB)  
摘要:
在机载LiDAR(Light Detection and Ranging)数据和高空间分辨率航空影像的支持下,以城市为实验区,实现了单木树冠提取。首先通过LiDAR数据获取高差模型,将其作为包含林木的感兴趣区,再通过掩膜方式提取高分影像上的相同区域,然后采用标记分水岭分割算法分别对两幅感兴趣区影像进行树冠提取,最后以人工勾绘树冠结果为参考评价分割精度,比较了两种数据源提取树冠的优缺点。结果显示,利用LiDAR数据获取的高差模型中包含85.28%的林木信息,林木区域提取的效果显著;基于高分影像得到的分割结果较好,F值为57.14%,基于高度差值模型影像的分割结果较差,F值为42.47%。表明分水岭算法方便可行,且高分影像提供的二维信息更适用于树冠提取。
 
关键词: LiDAR数据高空间分辨率航空影像分水岭分割树冠提取    
Abstract: With the support of airborne Light Detection and Ranging (LiDAR) data and high spatial resolution aerial imagery,this paper presents an individual tree extraction method that takes the region of urban as the study area.The elevation difference model originated from LiDAR data was used to extract regions of interest including trees. Then,masking was applied to the high spatial resolution aerial imagery to get the same regions. Besides,image segmentations,based on the marked watershed algorithm,were processed on the high spatial resolution aerial imagery and the elevation difference model separately to extract individual tree crowns. Finally,we took a visual interpretation to delineate tree crowns manually and this result was regarded as the reference crowns map. The extraction accuracies were assessed by comparing the spatial relationships of the reference crowns and the automated delineated tree crowns based on the elevation difference model and the high resolution imagery. The results show that the LiDAR data is developed to improve the efficiency of obtaining forest region that the canopy height model include 85.25% forest information. In addition,the tree crowns extraction accuracy based on the high resolution aerial imagery is 57.14%,while another extraction accuracy based on the elevation difference model is 42.47%,which indicated that the marked watershed algorithm proposed in this paper is effective and the high resolution imagery is better than the elevation difference model to extract tree crowns.
Key words: LiDAR data    High spatial resolution aerial imagery    Watershed segmentation    Tree crown extraction
收稿日期: 2016-09-29 出版日期: 2017-11-02
:  TP 75  
基金资助: 国家自然科学基金项目“异速增长和资源限制模型结合多源遥感数据估算森林地上生物量研究”(41471312)。


作者简介: 卜帆(1993-),女,江苏常熟人,硕士研究生,主要从事森林生物量估算研究。Email:Grace_bf@163.com。
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引用本文:

卜帆,石玉立. 机载LiDAR高差和高分影像的城市树冠提取比较[J]. 遥感技术与应用, 2017, 32(5): 875-882.

Bu Fan,Shi Yuli. The Comparison of Urban Tree Crown Extraction based on Airborne LiDARElevation Difference and High Resolution Imagery. Remote Sensing Technology and Application, 2017, 32(5): 875-882.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2017.5.0875        http://www.rsta.ac.cn/CN/Y2017/V32/I5/875

[1] 闫鹏飞,明冬萍. 尺度自适应的高分辨率遥感影像分水岭分割方法[J]. 遥感技术与应用, 2018, 33(2): 321-330.
[2] 周艳飞,张绘芳,李霞,杨帆,丁程锋. 基于高分辨遥感数据的胡杨与柽柳树冠提取[J]. 遥感技术与应用, 2015, 30(3): 510-517.