Name
Title | ||
|---|---|---|
Toward Arbitrary-Oriented Ship Detection With Rotated Region Proposal and Discrimination Networks. |
Abstract | ||
|---|---|---|
Ship detection from remote sensing images can provide important information for maritime reconnaissance and surveillance and is also a challenging task. Although previous detection methods including some advanced ones based on deep convolutional neural network expertize in detecting horizontal or nearly horizontal targets, they cannot give satisfying detection results for arbitrary-oriented ship d... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2856921 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Marine vehicles,Proposals,Feature extraction,Task analysis,Shape,Remote sensing,Convolutional neural networks | Computer vision,Convolutional neural network,End-to-end principle,Pooling,Feature extraction,Artificial intelligence,Region of interest,Discriminative model,Subnetwork,Mathematics,Bounding overwatch | Journal |
Volume | Issue | ISSN |
15 | 11 | 1545-598X |
Citations | PageRank | References |
8 | 0.50 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zenghui Zhang | 1 | 50 | 10.29 |
| Weiwei Guo | 2 | 9 | 0.85 |
| Shengnan Zhu | 3 | 8 | 0.50 |
| Wenxian Yu | 4 | 44 | 13.56 |