Precision Forestry: Trees Counting in Urban Areas Using Visible Imagery based on an Unmanned Aerial Vehicle

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• 作者：Omair Hassaan^* ; ^{14030008@lums.edu.pk" class="auth_mail" title="E-mail the corresponding author} ; Ahmad Kamal Nasir^* ; ^{ahmad.kamal@lums.edu.pk" class="auth_mail" title="E-mail the corresponding author} ; Hubert Roth^* ; ^{hubert.roth@uni-siegen.de" class="auth_mail" title="E-mail the corresponding author} ; M. Fakhir Khan^** ; ^{fakhir.khan@lums.edu.pk" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Precision Forestry ; Robotics ; Vision ; UAV
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：16
• 页码：16-21
• 全文大小：2086 K

文摘

This research work describes an approach to count trees in an urban environment. Furthermore it addresses the problems involved in detection of trees in aerial imagery. This work can be used to solve the problem of forest degradation and deforestation. Right now forest man labor isn’t efficient enough to detect or prevent this problem. A multi-rotor UAV equipped with high resolution RGB camera was used to acquire aerial images and to count number of trees in surveyed area. Various issues involved in the robust implementation of proposed algorithm are discussed. The result of successful implementation of the proposed algorithm on multiple scenarios are also presented and we show that our naive approach is able to achieve ≈ 0.72 accuracy within reasonable amount of time.