Abstract | ||
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The latest developments in unmanned aerial vehicles (UAVs) and associated sensing systems make these platforms increasingly attractive to the remote sensing community. The large amount of spatial details contained in these images opens the door for advanced monitoring applications. In this paper, we use this cost-effective and attractive technology for the automatic detection of palm trees. Given ... |
Year | DOI | Venue |
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2014 | 10.1109/JSTARS.2014.2331425 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Vegetation,Unmanned aerial vehicles,Spatial resolution,Feature extraction,Remote sensing,Histograms | Scale-invariant feature transform,Histogram,Extreme learning machine,Local binary patterns,Remote sensing,Level set,Artificial intelligence,Classifier (linguistics),Active contour model,Computer vision,Pattern recognition,Feature extraction,Mathematics | Journal |
Volume | Issue | ISSN |
7 | 12 | 1939-1404 |
Citations | PageRank | References |
12 | 0.97 | 39 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Salim Malek | 1 | 40 | 3.98 |
Yakoub Bazi | 2 | 672 | 43.66 |
Naif Alajlan | 3 | 839 | 50.51 |
Haikel Al-Hichri | 4 | 31 | 4.09 |
Farid Melgani | 5 | 1100 | 80.98 |