Name
Title | ||
|---|---|---|
Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images |
Abstract | ||
|---|---|---|
Unmanned aerial vehicles (UAVs) allow on-demand imaging of orchards at an unprecedented level of detail. The automated detection of plantation rows in the images helps in the successive analysis steps, such as the detection of individual fruit trees and planting gaps, aiding producers with inventory and planting operations. Citrus trees can be planted in curved rows that form intricate geometric p... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LGRS.2020.3024641 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Image segmentation,Geometry,Vegetation,Training,Testing,Decoding,Feature extraction | Journal | 19 |
ISSN | Citations | PageRank |
1545-598X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laura Elena Cue La Rosa | 1 | 0 | 0.34 |
| Dário Augusto B. Oliveira | 2 | 23 | 6.45 |
| Maciel Zortea | 3 | 0 | 0.34 |
| Bruno Holtz Gemignani | 4 | 0 | 0.34 |
| Raul Feitosa | 5 | 86 | 19.13 |