Name
Title | ||
|---|---|---|
An Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection. |
Abstract | ||
|---|---|---|
This paper deals with subspace-based target detection in hyperspectral images. Specifically, it focuses on a general detection scheme where, first, background is suppressed through orthogonal-subspace projection and then target detection is accomplished. An adequate estimation of the background subspace is essential to a successful outcome. The background subspace has been typically estimated glob... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TGRS.2010.2065235 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Pixel,Estimation,Hyperspectral imaging,Covariance matrix,Detectors,Complexity theory | Computer vision,Object detection,Subspace topology,Pattern recognition,Orthographic projection,Hyperspectral imaging,Artificial intelligence,Interference (wave propagation),Pixel,Covariance matrix,Detector,Mathematics | Journal |
Volume | Issue | ISSN |
49 | 2 | 0196-2892 |
Citations | PageRank | References |
25 | 1.05 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefania Matteoli | 1 | 152 | 18.05 |
| Nicola Acito | 2 | 191 | 22.58 |
| Marco Diani | 3 | 261 | 30.99 |
| Giovanni Corsini | 4 | 299 | 40.26 |