Name
Abstract | ||
|---|---|---|
Micro-Doppler radar signatures have great potential for classifying pedestrians and animals, as well as their motion pattern, in a variety of surveillance applications. Due to the many degrees of freedom involved, real data need to be complemented with accurate simulated radar data to be able to successfully design and test radar signal processing algorithms. In many cases, the ability to collect ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2015.2452311 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Feature extraction,Radar cross-sections,Doppler radar,Doppler effect,Mathematical model,Legged locomotion | Radar engineering details,Radar,Continuous-wave radar,Computer vision,Doppler radar,Motion capture,Radar tracker,Remote sensing,A priori and a posteriori,Feature extraction,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 10 | 1545-598X |
Citations | PageRank | References |
8 | 0.57 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cesur Karabacak | 1 | 9 | 1.68 |
| Sevgi Zubeyde Gurbuz | 2 | 52 | 8.44 |
| Ali Cafer Gürbüz | 3 | 29 | 9.17 |
| Mehmet Burak Guldogan | 4 | 42 | 4.81 |
| Gustaf Hendeby | 5 | 216 | 21.37 |
| Fredrik Gustafsson | 6 | 2287 | 281.33 |