Name
Abstract | ||
|---|---|---|
This paper evaluates performance of max-type detectors introduced in earlier work as a special case of generalized fusion. The max-type detectors combine several base detectors, e.g., matched filters (MF), based on information from identified background segments. For identification of background segments, we use a method that we call Flexible Spectral Clustering (FSC) since this turns out to be a ... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/JSTARS.2012.2188278 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Detectors,Clustering algorithms,Power capacitors,Image segmentation,Materials,Hyperspectral imaging,Visual effects | Image fusion,Remote sensing,Image segmentation,Artificial intelligence,Matched filter,Detector,Object detection,Computer vision,Image sensor,Pattern recognition,Hyperspectral imaging,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 2 | 1939-1404 |
Citations | PageRank | References |
5 | 0.46 | 7 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bajorski, P. | 1 | 19 | 2.94 |