Name
Abstract | ||
|---|---|---|
With the large amount of high-spatial resolution images now available, scene classification aimed at obtaining high-level semantic concepts has drawn great attention. The convolutional neural networks (CNNs), which are typical deep learning methods, have widely been studied to automatically learn features for the images for scene classification. However, scene classification based on CNNs is still... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2018.2848473 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Feature extraction,Remote sensing,Semantics,Convolutional neural networks,Training data,Machine learning,Object oriented modeling | Journal | 56 |
Issue | ISSN | Citations |
12 | 0196-2892 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanfei Liu | 1 | 14 | 1.87 |
| Yanfei Zhong | 2 | 1044 | 90.58 |
| Qianqing Qin | 3 | 58 | 10.53 |