Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data.
Celine MeillierFlorent ChatelainOlivier J. J. MichelHacheme AyassoPublished in: ICASSP (2014)
Keyphrases
- bayesian framework
- hyperspectral data
- gaussian process
- hyperspectral
- prior knowledge
- probability density function
- hyperspectral images
- generative model
- hyperspectral imagery
- detection algorithm
- target detection
- expectation maximization
- maximum a posteriori
- multispectral
- object detection
- remote sensing
- infrared
- random projections
- detection rate
- moving objects
- data compression
- false positives
- machine learning
- gaussian processes
- similarity measure