Name
Abstract | ||
|---|---|---|
In evaluating the performance of detectors such as the orthogonal subspace projection (OSP) detector, it is often assumed that the model under which the detector is constructed is the correct model. However, in practice, the ability to identify all background endmembers might be limited. Consequently, the OSP detector would use only a subset of all background endmembers. In this paper, we consider... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/JSTARS.2012.2188095 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Detectors,Vectors,Hyperspectral imaging,Object detection,Materials,Noise level | False alarm,Noise level,Remote sensing,Artificial intelligence,Detector,Complete information,Object detection,Computer vision,Image sensor,Pattern recognition,Subspace topology,Hyperspectral imaging,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 2 | 1939-1404 |
Citations | PageRank | References |
13 | 0.72 | 5 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bajorski, P. | 1 | 19 | 2.94 |