典型文献
Pine wilt disease detection in high-resolution UAV images using object-oriented classification
文献摘要：
Pine wilt disease (PWD) is currently one of the main causes of large-scale forest destruction. To control the spread of PWD, it is essential to detect affected pine trees quickly. This study investigated the feasibility of using the object-oriented multi-scale segmentation algorithm to identify trees discolored by PWD. We used an unmanned aerial vehicle (UAV) platform equipped with an RGB digital camera to obtain high spatial resolution images, and multi-scale segmentation was applied to delineate the tree crown, coupling the use of object-oriented classification to clas-sify trees discolored by PWD. Then, the optimal segmenta-tion scale was implemented using the estimation of scale parameter (ESP2) plug-in. The feature space of the segmen-tation results was optimized, and appropriate features were selected for classification. The results showed that the opti-mal scale, shape, and compactness values of the tree crown segmentation algorithm were 56, 0.5, and 0.8, respectively. The producer's accuracy (PA), user's accuracy (UA), and F1 score were 0.722, 0.605, and 0.658, respectively. There were no significant classification errors in the final classification results, and the low accuracy was attributed to the low num-ber of objects count caused by incorrect segmentation. The multi-scale segmentation and object-oriented classification method could accurately identify trees discolored by PWD with a straightforward and rapid processing. This study pro-vides a technical method for monitoring the occurrence of PWD and identifying the discolored trees of disease using UAV-based high-resolution images.
文献关键词：
中图分类号：
作者姓名：
Zhao Sun;Yifu Wang;Lei Pan;Yunhong Xie;Bo Zhang;Ruiting Liang;Yujun Sun
作者机构：
National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management,Beijing Forestry University,Beijing 100083, People's Republic of China
文献出处：
引用格式：
[1]Zhao Sun;Yifu Wang;Lei Pan;Yunhong Xie;Bo Zhang;Ruiting Liang;Yujun Sun-.Pine wilt disease detection in high-resolution UAV images using object-oriented classification)[J].林业研究（英文版）,2022(04):1377-1389
A类：
discolored,segmenta,ESP2
B类：
Pine,wilt,disease,detection,high,resolution,UAV,images,using,oriented,classification,PWD,currently,one,main,causes,large,scale,forest,destruction,To,control,spread,essential,affected,pine,trees,quickly,This,study,investigated,feasibility,multi,segmentation,algorithm,by,We,unmanned,aerial,vehicle,platform,equipped,RGB,digital,camera,obtain,spatial,was,applied,delineate,crown,coupling,sify,Then,optimal,implemented,estimation,parameter,plug,space,results,optimized,appropriate,features,were,selected,showed,that,shape,compactness,values,respectively,producer,accuracy,PA,user,score,There,no,significant,errors,final,low,attributed,num,ber,objects,count,caused,incorrect,method,could,accurately,straightforward,rapid,processing,vides,technical,monitoring,occurrence,identifying
AB值：
0.450487
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