Name
Title | ||
|---|---|---|
Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines. |
Abstract | ||
|---|---|---|
Imaging spectroscopy, also known as hyperspectral imaging, has been transformed in the last four decades from being a sparse research tool into a commodity product available to a broad user community. Specially, in the last 10 years, a large number of new techniques able to take into account the special properties of hyperspectral data have been introduced for hyperspectral data processing, where ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2017.2765364 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Hyperspectral imaging,Adaptive systems,Feature extraction,Correlation,Kernel,Support vector machines | Kernel (linear algebra),Spatial analysis,Data mining,Computer vision,Data processing,Adaptive system,Support vector machine,Hyperspectral imaging,Feature extraction,Pixel,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 3 | 0196-2892 |
Citations | PageRank | References |
28 | 0.77 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin He | 1 | 53 | 4.12 |
| Jun Li | 2 | 1360 | 97.59 |
| Chenying Liu | 3 | 39 | 2.94 |
| Shutao Li | 4 | 191 | 16.15 |