Name
Abstract | ||
|---|---|---|
Recently, remote sensing image scene classification technology has been widely applied in many applicable industries. As a result, several remote sensing image scene classification frameworks have been proposed; in particular, those based on deep convolutional neural networks have received considerable attention. However, most of these methods have performance limitations when analyzing images wit... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LGRS.2019.2938996 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Remote sensing,Training,Adaptation models,Convolutional neural networks,Task analysis,Data models,Industries | Journal | 17 |
Issue | ISSN | Citations |
6 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianyu Wei | 1 | 0 | 0.68 |
| Jue Wang | 2 | 3 | 1.39 |
| Wenchao Liu | 3 | 10 | 3.53 |
| He Chen | 4 | 3 | 1.77 |
| Hao Shi | 5 | 56 | 22.60 |