摘要
随着遥感技术的发展,无人机以及新型遥感数据的出现,越来越多的高分辨率影像被应用于林业资源监测。图像分割作为影像识别应用的基础,大量研究人员在原有的分水岭算法基础上针对不同的区域、背景、目标和研究方向进行了一定的改进,在林木病虫害监测、木材表面缺陷检测、单木冠幅分割、叶片提取等林业领域发展迅速。文中介绍了分水岭算法在林业中的应用,以期为分水岭算法在林业领域的推广以及进一步改进研究提供参考。
With the development of remote sensing technology and the emergence of unmanned aerial vehicles(UAVs) and new remote sensing data, more and more high-resolution images are used for forest resource monitoring. Image segmentation is the basis of image recognition applications. Based on the original watershed algorithm, many researchers have made some improvements in different regions, backgrounds,targets and research directions, and the method has developed rapidly in forestry fields such as forest disease and pest monitoring, wood surface defect detection, single tree canopy segmentation and leaf extraction. The paper introduces the application of watershed algorithm to forestry, in order to provide references for the extension of watershed algorithm in forestry field and the further improvement of research.
作者
孙钊
潘磊
谢运鸿
丁志丹
孙玉军
Sun Zhao;Pan Lei;Xie Yunhong;Ding Zhidan;Sun Yujun(National Forestry and Grassland Administration Key Laboratory of Forest Resources&Environmental Management,Beijing Forestry University,Beijing 100083,China)
出处
《世界林业研究》
CSCD
北大核心
2021年第3期63-67,共5页
World Forestry Research
基金
林业科学技术推广项目“基于分水岭算法的森林植被碳储量监测技术成果推广应用”([2019]06)。
关键词
分水岭算法
影像分割
林木病虫害监测
木材表面缺陷检测
遥感技术
watershed algorithm
image segmentation
forests disease and pest monitoring
wood surface defect detection
remote sensing technology
