分水岭算法在林业中的应用

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。

Application of Watershed Algorithm to Forestry

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.