Name
Abstract | ||
|---|---|---|
This paper presents a new method for the automatic detection of cars in unmanned aerial vehicle (UAV) images acquired over urban contexts. UAV images are characterized by an extremely high spatial resolution, which makes the detection of cars particularly challenging. The proposed method starts with a screening operation in which the asphalted areas are identified in order to make the car detectio... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TGRS.2013.2296351 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Catalogs,Support vector machines,Merging,Spatial resolution,Vehicles | Computer vision,Horizontal and vertical,Similarity measure,Remote sensing,Support vector machine,Filter (signal processing),Feature extraction,Artificial intelligence,Merge (version control),Image resolution,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
52 | 10 | 0196-2892 |
Citations | PageRank | References |
36 | 1.37 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Moranduzzo | 1 | 43 | 2.30 |
| Farid Melgani | 2 | 1100 | 80.98 |