Name
Title | ||
|---|---|---|
Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection. |
Abstract | ||
|---|---|---|
With the high spectral resolution, hyperspectral images (HSIs) provide great potential for target detection, which is playing an increasingly important role in HSI processing. Many target detection methods uniformly utilize all the spectral information or employ reduced spectral information to distinguish the targets and background. Simultaneously reducing spectral redundancy and preserving the di... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TGRS.2016.2616649 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Object detection,Training,Hyperspectral imaging,Detectors,Redundancy,Kernel | Redundancy (engineering),Artificial intelligence,Detector,Discriminative model,Kernel (linear algebra),Object detection,Computer vision,Multi-task learning,Pattern recognition,Sparse approximation,Hyperspectral imaging,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
55 | 2 | 0196-2892 |
Citations | PageRank | References |
20 | 0.60 | 34 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxiang Zhang | 1 | 167 | 15.28 |
| Bo Du | 2 | 1662 | 130.01 |
| Liangpei Zhang | 3 | 5448 | 307.02 |
| Tongliang Liu | 4 | 902 | 47.13 |