Name
Abstract | ||
|---|---|---|
We use Gabor filters to extract texture features at different scales and orientations from hyperspectral images. The texture features are derived from both individual bands and combinations of bands. We consider both spectral binning and principal components analysis for reducing the dimensionality of the input data. Using a database of Airborne Visible Infrared Imaging Spectrometer image regions,... |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TGRS.2003.811076 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Hyperspectral imaging,Gabor filters,Data mining,Feature extraction,Principal component analysis,Image databases,Spatial databases,Infrared imaging,Infrared spectra,Spectroscopy | Computer vision,Dimensionality reduction,Image texture,Remote sensing,Filter (signal processing),Hyperspectral imaging,Gabor filter,Artificial intelligence,Spectral bands,Mathematics,Principal component analysis,Airborne visible/infrared imaging spectrometer | Journal |
Volume | Issue | ISSN |
41 | 5 | 0196-2892 |
Citations | PageRank | References |
19 | 1.16 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miaohong Shi | 1 | 26 | 1.69 |
| G. Healey | 2 | 19 | 1.16 |