Hyperspectral imagery: clutter adaptation in anomaly detection
- 1 January 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory
- Vol. 46 (5) , 1855-1871
- https://doi.org/10.1109/18.857796
Abstract
No abstract availableThis publication has 22 references indexed in Scilit:
- Computationally efficient maximum likelihood estimation of structured covariance matricesIEEE Transactions on Signal Processing, 1999
- Determinant Maximization with Linear Matrix Inequality ConstraintsSIAM Journal on Matrix Analysis and Applications, 1998
- Adaptive spatial/spectral detection of subpixel targets with unknown spectral characteristicsPublished by SPIE-Intl Soc Optical Eng ,1994
- 15 Statistical algorithms for noncausal Gauss-Markov fieldsPublished by Elsevier ,1993
- Recursive structure of noncausal Gauss-Markov random fieldsIEEE Transactions on Information Theory, 1992
- A Detection Algorithm for Optical Targets in ClutterIEEE Transactions on Aerospace and Electronic Systems, 1987
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Nonstationary Assumptions for Gaussian Models of ImagesIEEE Transactions on Systems, Man, and Cybernetics, 1976
- A Gaussian Markovian process on a square latticeJournal of Applied Probability, 1973
- Two-dimensional discrete Markovian fieldsIEEE Transactions on Information Theory, 1972