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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Veröffentlicht in:IEEE transactions on image processing Jg. 13; H. 9; S. 1174 - 1184
Hauptverfasser: Hardie, R.C., Eismann, M.T., Wilson, G.L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.09.2004
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Beschreibung
Zusammenfassung: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 estimation framework developed allows for any number of spectral bands in the primary and auxiliary image. The proposed technique is suitable for applications where some correlation, either localized or global, exists between the auxiliary image and the image being enhanced. To exploit localized correlations, a spatially varying statistical model, based on vector quantization, is used. Another important aspect of the proposed algorithm is that it allows for the use of an accurate observation model relating the "true" scene with the low-resolutions observations. Experimental results with hyperspectral data derived from the airborne visible-infrared imaging spectrometer are presented to demonstrate the efficacy of the proposed estimator.
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ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2004.829779