Abstract
Feature extraction of tree trunk cross-section shape plays an important part in targeted barrier application, which is the precondition of precise targeted spray. During targeted spray operation, the accurate information of tree trunk cross-section should be obtained firstly and fed to spray system. According to trunk cross-section shape characteristics, it is reasonable to apply circular feature extraction. In this research, three circular feature extraction algorithms including Kasa's Method, Modified Least-Squares Method (MLS Method) and Average of Intersections Method (AI Method) were evaluated and compared based on laser scanner data. A SICK LMS 511 laser range finder was installed on a tripod horizontally scanning tree trunks, whose scan frequency and angle resolution were set fixed. The accuracy of the three algorithms were observed and compared in order to figure out if the results had errors when scan the same direction of one trunk at different angles using the three algorithms.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
