Name
Title | ||
|---|---|---|
A Locally Adaptive Background Density Estimator: An Evolution for RX-Based Anomaly Detectors |
Abstract | ||
|---|---|---|
We propose a local anomaly detection strategy for multi-hyperspectral images in which the background probability density function is estimated with a kernel density estimator and locally adaptive information extracted from the image is injected into the bandwidth selection process. Results for multispectral images of different scenarios show the benefits of the proposed strategy regarding its effectiveness both at detecting anomalies and at avoiding the crucial issue of properly selecting the kernel-width parameter. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LGRS.2013.2257670 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
adaptive estimation,hyperspectral imaging,image fusion,image sensors,probability,RX-based anomaly detector,background probability density function estimation,bandwidth selection process,kernel density estimator,kernel-width parameter,local anomaly detection strategy,locally adaptive background density estimator,locally adaptive information extraction,multihyperspectral imaging,Anomaly detection,multi-hyperspectral images,variable bandwidth kernel density estimation | Anomaly detection,Pattern recognition,Image fusion,Multispectral image,Bandwidth (signal processing),Artificial intelligence,Variable kernel density estimation,Probability density function,Mathematics,Kernel density estimation,Estimator | Journal |
Volume | Issue | ISSN |
11 | 1 | 1545-598X |
Citations | PageRank | References |
6 | 0.43 | 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 |