Name
Title | ||
|---|---|---|
Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search |
Abstract | ||
|---|---|---|
Convolutional neural networks (CNNs) have demo- nstrated outstanding performance on image classification. To classify the hyperspectral images (HSIs), existing CNN-based approaches commonly adopt the architecture using single or several fixed spatial windows as inputs. This kind of architecture may lose contextual information or incorporate heterogeneous information due to the neglect of various l... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2020.3011943 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Feature extraction,Hyperspectral imaging,Machine learning,Training,Convolutional neural networks,Adaptive systems,Support vector machines | Journal | 59 |
Issue | ISSN | Citations |
6 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Feng | 1 | 247 | 20.11 |
| Xiande Wu | 2 | 0 | 1.01 |
| Ronghua Shang | 3 | 18 | 8.68 |
| Chenhong Sui | 4 | 4 | 1.41 |
| Jie Li | 5 | 1266 | 116.12 |
| Licheng Jiao | 6 | 5698 | 475.84 |
| Xiangrong Zhang | 7 | 493 | 48.70 |