Comparison of Supervised Classifiers and Image Features for Crop Rows Segmentation on Aerial Images
In this paper we present a comparison of supervised classifiers and image features for crop row segmentation of aerial images captured from an unmanned aerial vehicle (UAV). The main goal is to investigate which methods are the most suitable to solve this specific problem, as well as to test quantit...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-03-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2020.1720131 |