Name
Abstract | ||
|---|---|---|
An extinction profile (EP) is an effective spatial-spectral feature extraction method for hyperspectral images (HSIs), which has recently drawn much attention. However, the existing methods utilize the EPs in a stacking way, which is hard to fully explore the information in EPs for HSI classification. In this paper, a novel fusion framework termed EPs-fusion (EPs-F) is proposed to exploit the info... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2017.2768479 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Kernel,Feature extraction,Support vector machines,Integrated circuits,Fuses,Hyperspectral imaging | Kernel (linear algebra),Spatial analysis,Computer vision,Data set,Pattern recognition,Decision fusion,Support vector machine,Fusion,Feature extraction,Hyperspectral imaging,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 3 | 0196-2892 |
Citations | PageRank | References |
7 | 0.40 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leyuan Fang | 1 | 639 | 33.52 |
| Nanjun He | 2 | 42 | 3.70 |
| Shutao Li | 3 | 191 | 16.15 |
| Pedram Ghamisi | 4 | 827 | 46.28 |
| Jon Atli Benediktsson | 5 | 4064 | 251.17 |