Name
Abstract | ||
|---|---|---|
•A modified CenterNet architecture guarantees the effective detection of targets with angles in remote sensing images.•A lightweight backbone possesses the capability of ensuring the high time and space efficiency.•A splicing strategy improves the detection effects for boundary targets.•Real-world experiments demonstrate the effectiveness. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compeleceng.2022.107979 | Computers and Electrical Engineering |
Keywords | DocType | Volume |
Remote sensing,Target detection,Deep learning,CenterNet,HRNet | Journal | 100 |
ISSN | Citations | PageRank |
0045-7906 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Wang | 1 | 0 | 18.25 |
| Zhilu Zhang | 2 | 0 | 0.34 |
| Huifeng Dai | 3 | 0 | 0.34 |