Name
Title | ||
|---|---|---|
Learning Discriminative Compact Representation for Hyperspectral Imagery Classification. |
Abstract | ||
|---|---|---|
Abundant spectral information of hyperspectral images (HSIs) has shown an obvious advantage in improving the performance of classification in the remote sensing domain. However, this is paid by the expensive consumption on the computation, transmission, as well as storage of HSIs. To address this problem, we propose to learn the discriminative compact representation for HSIs classification, which ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2919938 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Image coding,Hyperspectral imaging,Deep learning,Decoding,Neural networks,Redundancy | Computer vision,Hyperspectral imaging,Redundancy (engineering),Data redundancy,Artificial intelligence,Pixel,Deep learning,Classifier (linguistics),Artificial neural network,Discriminative model,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 10 | 0196-2892 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Zhang | 1 | 16 | 4.99 |
| Jinyang Zhang | 2 | 4 | 1.41 |
| Wei Wei | 3 | 507 | 68.07 |
| Yanning Zhang | 4 | 1613 | 176.32 |