![]() |
Volumn 1, Issue , 2000, Pages 37-40
|
The fully adaptive GMRF anomaly detector for hyperspectral imagery
|
Author keywords
[No Author keywords available]
|
Indexed keywords
BENCHMARKING;
COMPUTATION THEORY;
GAUSSIAN DISTRIBUTION;
GAUSSIAN NOISE (ELECTRONIC);
MARKOV PROCESSES;
MAXIMUM LIKELIHOOD;
SIGNAL PROCESSING;
SPECTROSCOPY;
ADAPTIVE ALGORITHMS;
BOUNDARY CONDITIONS;
CLUTTER (INFORMATION THEORY);
COMPUTATIONAL METHODS;
IMAGE PROCESSING;
LEAST SQUARES APPROXIMATIONS;
MATRIX ALGEBRA;
MAXIMUM LIKELIHOOD ESTIMATION;
COMPUTATIONAL REQUIREMENTS;
COMPUTATIONALLY EFFICIENT;
DETECTION PERFORMANCE;
EFFICIENT IMPLEMENTATION;
GAUSS MARKOV RANDOM FIELDS;
HYPER-SPECTRAL IMAGERIES;
HYPERSPECTRAL SENSORS;
MAXIMUM LIKELIHOOD DETECTORS;
REMOTE SENSING;
INFRARED IMAGING;
GAUSS-MARKOV RANDOM FIELD;
HYPERSPECTRAL IMAGERY;
MINIMUM MEAN SQUARE ERROR;
|
EID: 0033707071
PISSN: 15206149
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICASSP.2000.861855 Document Type: Conference Paper |
Times cited : (3)
|
References (6)
|