Name
Abstract | ||
|---|---|---|
This paper presents a novel method to “coarsely” describe extremely high-resolution (EHR) images acquired by means of unmanned aerial vehicles (UAVs) over urban areas. Standard image analysis approaches cannot be directly exploited for the automatic description of UAV images due to their EHR. For this reason, we propose an alternative approach that consists first in the subdivision of the original... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TGRS.2015.2438400 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Image color analysis,Histograms,Satellites,Training,Shape,Remote sensing | Computer vision,Histogram,Remote sensing,Feature extraction,Subdivision,Artificial intelligence,Point of interest,Euclidean geometry,Tile,Mathematics,Grid,Binary number | Journal |
Volume | Issue | ISSN |
53 | 12 | 0196-2892 |
Citations | PageRank | References |
6 | 0.54 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Moranduzzo | 1 | 43 | 2.30 |
| Farid Melgani | 2 | 1100 | 80.98 |
| Mohamed Lamine Mekhalfi | 3 | 62 | 8.01 |
| Yakoub Bazi | 4 | 672 | 43.66 |
| Naif Alajlan | 5 | 839 | 50.51 |