MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor

This paper presents a novel maximum a posteriori estimator for enhancing the spatial resolution of an image using co-registered high spatial-resolution imagery from an auxiliary sensor. Here, we focus on the use of high-resolution panchromatic data to enhance hyperspectral imagery. However, the esti...

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Vydáno v:	IEEE transactions on image processing Ročník 13; číslo 9; s. 1174 - 1184
Hlavní autoři:	Hardie, R.C., Eismann, M.T., Wilson, G.L.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.09.2004 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Artificial intelligence Computer science; control theory; systems Computer Simulation Correlation Effectiveness Estimators Exact sciences and technology Hyperspectral imaging Hyperspectral sensors Image Enhancement - instrumentation Image Enhancement - methods Image Interpretation, Computer-Assisted - instrumentation Image Interpretation, Computer-Assisted - methods Image processing Image resolution Image sensors Imagery Information Storage and Retrieval - methods Information, signal and communications theory Layout Maximum a posteriori estimation Models, Statistical Numerical Analysis, Computer-Assisted Optical imaging Pattern Recognition, Automated Pattern recognition. Digital image processing. Computational geometry Reproducibility of Results Sensitivity and Specificity Sensors Signal processing Signal Processing, Computer-Assisted Spatial resolution Spectral bands Spectroscopy Subtraction Technique Telecommunications and information theory Transducers Vector quantization Parameter estimation maximum a posteriori (MAP) estimation Multisensor Vector quantization Image processing Hyperspectral resolution enhancement multispectral Hyperspectral imaging sensor Statistical model A posteriori estimation panchromatic sharpening Spatial resolution Image enhancement
ISSN:	1057-7149, 1941-0042
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