Name
Title | ||
|---|---|---|
Background Density Nonparametric Estimation With Data-Adaptive Bandwidths for the Detection of Anomalies in Multi-Hyperspectral Imagery. |
Abstract | ||
|---|---|---|
This letter presents a scheme for detecting global anomalies, in which a likelihood ratio test based decision rule is applied in conjunction with an automated data-driven estimation of the background probability density function (PDF). The latter is reliably estimated with a nonparametric variable-band width kernel density estimator (VKDE), without making any distributional assumption. With respec... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LGRS.2013.2250907 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Bandwidth,Estimation,Kernel,Smoothing methods,Probability density function,Reliability,Light rail systems | Anomaly detection,Likelihood-ratio test,Pattern recognition,Hyperspectral imaging,Nonparametric statistics,Smoothing,Artificial intelligence,Pixel,Probability density function,Mathematics,Kernel density estimation | Journal |
Volume | Issue | ISSN |
11 | 1 | 1545-598X |
Citations | PageRank | References |
2 | 0.38 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefania Matteoli | 1 | 152 | 18.05 |
| Tiziana Veracini | 2 | 39 | 3.61 |
| Marco Diani | 3 | 261 | 30.99 |
| Giovanni Corsini | 4 | 299 | 40.26 |