Name
Abstract | ||
|---|---|---|
Contemporary surveillance systems mainly use video cameras as their primary sensor. However, video cameras possess fundamental deficiencies, such as the inability to handle low-light environments, poor weather conditions, and concealing clothing. In contrast, radar devices are able to sense in pitch-dark environments and to see through walls. In this paper, we investigate the use of micro-Doppler ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2018.2816812 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Legged locomotion,Doppler effect,Doppler radar,Cameras,Robustness,Machine learning | Radar,Continuous-wave radar,Computer vision,Doppler radar,Convolutional neural network,Word error rate,Robustness (computer science),Artificial intelligence,Feature learning,Mathematics,Test set | Journal |
Volume | Issue | ISSN |
56 | 7 | 0196-2892 |
Citations | PageRank | References |
11 | 0.94 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baptist Vandersmissen | 1 | 38 | 5.79 |
| Nicolas Knudde | 2 | 13 | 2.67 |
| Jalalvand, Azarakhsh | 3 | 69 | 7.71 |
| Ivo Couckuyt | 4 | 126 | 16.14 |
| André Bourdoux | 5 | 274 | 42.21 |
| Wesley De Neve | 6 | 525 | 54.41 |
| Tom Dhaene | 7 | 351 | 57.27 |