Abstract

Trees in 3D images obtained from lidar were automatically extracted in the presence of other objects that were not trees. We proposed a method combining 3D image processing and machine learning techniques for this automatic detection. Consequently, tree detection could be done with 95% accuracy. First, the objects in the 3D images were segmented one by one; then, each of the segmented objects was projected onto 2D images. Finally, the 2D image was classified into “tree” and “not tree” using a one-class support vector machine, and trees in the 3D image were successfully extracted.

© 2019 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Automated segmentation of optic disc in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal opening detection

Menglin Wu, Theodore Leng, Luis de Sisternes, Daniel L. Rubin, and Qiang Chen
Opt. Express 23(24) 31216-31229 (2015)

Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging

Arjun D. Desai, Chunlei Peng, Leyuan Fang, Dibyendu Mukherjee, Andrew Yeung, Stephanie J. Jaffe, Jennifer B. Griffin, and Sina Farsiu
Biomed. Opt. Express 9(12) 6038-6052 (2018)

Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data

Laiping Luo, Qiuping Zhai, Yanjun Su, Qin Ma, Maggi Kelly, and Qinghua Guo
Opt. Express 26(10) A562-A578 (2018)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (3)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription