Automatic detection of individual oil palm trees from UAV images using HOG features and an SVM classifier
Author:
Affiliation:
1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Funder
Hong Kong Polytechnic University
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1513669
Reference20 articles.
1. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
2. Determination of the age of oil palm from crown projection area detected from WorldView-2 multispectral remote sensing data: The case of Ejisu-Juaben district, Ghana
3. Corley, R., V. Hereward, and P. Tinker. 2008. The Oil Palm, 89–127. Hoboken, NJ: John Wiley & Sons.
4. Support-vector networks
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