Name
Title | ||
|---|---|---|
Compact Band Weighting Module Based on Attention-Driven for Hyperspectral Image Classification |
Abstract | ||
|---|---|---|
Hyperspectral image (HSI) data have large numbers of bands that probably not all bands are equally informative and predictive for an effective HSI classification. Effective algorithms are highly desired in many real-world HSI applications, especially in cases requiring rapid learning with limited computing power. To address the abovementioned case, we present in this article a novel plug-and-play ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2021.3053397 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Feature extraction,Support vector machines,Correlation,Task analysis,Performance evaluation,Hyperspectral imaging,Data mining | Journal | 59 |
Issue | ISSN | Citations |
11 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Zhao | 1 | 215 | 23.25 |
| Jiawen Yi | 2 | 0 | 0.34 |
| Xi Li | 3 | 0 | 0.34 |
| Wenjing Hu | 4 | 11 | 6.39 |
| Jianhui Wu | 5 | 10 | 4.26 |
| Guoyun Zhang | 6 | 18 | 7.38 |