Name
Title | ||
|---|---|---|
Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection. |
Abstract | ||
|---|---|---|
Target detection is playing an important role in hyperspectral image (HSI) processing. Many traditional detection methods utilize the discriminative information within all the single-band images to distinguish the target and the background. The critical challenge with these methods is simultaneously reducing spectral redundancy and preserving the discriminative information. The multitask learning ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2739821 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Dictionaries,Object detection,Hyperspectral imaging,Encoding,Redundancy,Detectors | Computer science,Regularization (mathematics),Redundancy (engineering),Artificial intelligence,Discriminative model,Object detection,Computer vision,Multi-task learning,Pattern recognition,Sparse approximation,Hyperspectral imaging,Machine learning,Encoding (memory) | Journal |
Volume | Issue | ISSN |
14 | 11 | 1545-598X |
Citations | PageRank | References |
2 | 0.36 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxiang Zhang | 1 | 167 | 15.28 |
| Ke Wu | 2 | 97 | 8.63 |
| Bo Du | 3 | 1662 | 130.01 |
| Xiangyun Hu | 4 | 29 | 10.51 |