Name
Abstract | ||
|---|---|---|
In this paper, a novel spectral-spatial classification method based on Gabor filtering and deep network (GFDN) is proposed. First, Gabor features are extracted by performing Gabor filtering on the first three principal components of the hyperspectral image, which can typically characterize the low-level spatial structures of different orientations and scales. Then, the Gabor features and spectral ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2017.2767185 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Training,Hyperspectral imaging,Machine learning,Image reconstruction | Iterative reconstruction,Computer vision,Autoencoder,Filter (signal processing),Hyperspectral imaging,Feature extraction,Artificial intelligence,Deep learning,Mathematics,Principal component analysis | Journal |
Volume | Issue | ISSN |
11 | 4 | 1939-1404 |
Citations | PageRank | References |
2 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xudong Kang | 1 | 451 | 22.68 |
| Chengchao Li | 2 | 2 | 0.35 |
| Shutao Li | 3 | 2594 | 139.10 |
| Hui Lin | 4 | 36 | 2.36 |