Name
Title | ||
|---|---|---|
Hyperspectral image visualization with edge-preserving filtering and principal component analysis. |
Abstract | ||
|---|---|---|
•A global and local information based visualization framework is proposed.•Edge-preserving filtering is first adopted to visualize hyperspectral image.•Experimental results show outstanding performance compared with other methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.inffus.2019.12.003 | Information Fusion |
Keywords | Field | DocType |
Hyperspectral image visualization,Principal component analysis,Edge-preserving filtering,Dimension reduction | Data set,Image fusion,Pattern recognition,Visualization,Filter (signal processing),Hyperspectral imaging,Artificial intelligence,Histogram equalization,Transformation matrix,Principal component analysis,Mathematics | Journal |
Volume | ISSN | Citations |
57 | 1566-2535 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xudong Kang | 1 | 451 | 22.68 |
| Puhong Duan | 2 | 2 | 5.44 |
| Shutao Li | 3 | 2594 | 139.10 |