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: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York, NY
IEEE
01.09.2004
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1057-7149, 1941-0042 |
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| Abstract | 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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| AbstractList | 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 panchomatic 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. 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 panchomatic 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.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 panchomatic 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. 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. |
| Author | Eismann, M.T. Wilson, G.L. Hardie, R.C. |
| Author_xml | – sequence: 1 givenname: R.C. surname: Hardie fullname: Hardie, R.C. organization: Comput. Eng. & Electro-Opt. Program, Univ. of Dayton, USA – sequence: 2 givenname: M.T. surname: Eismann fullname: Eismann, M.T. – sequence: 3 givenname: G.L. surname: Wilson fullname: Wilson, G.L. |
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| Cites_doi | 10.1109/IGARSS.1995.519644 10.1117/12.179787 10.1109/TSMC.1976.4309486 10.1016/S0034-4257(97)00090-4 10.1117/1.601623 10.1117/12.257182 10.1109/83.650116 10.1109/IGARSS.1995.524134 10.1117/12.21332 10.1016/S0034-4257(99)00074-7 10.1117/12.478792 10.1109/36.536531 10.1109/TCOM.1980.1094577 10.1117/12.173573 10.1016/0034-4257(87)90049-6 |
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| Keywords | 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 |
| Language | English |
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| References | Chavez (ref4) 1991; 57 ref13 Munechika (ref6) 1993; 59 ref12 ref15 ref14 ref20 Shettigara (ref5) 1992; 58 ref11 Schowengerdt (ref1) 1980; 46 ref10 Ranchin (ref16) 2000; 66 ref21 ref2 Carper (ref3) 1990; 56 Kay (ref17) 1993 ref19 ref18 ref8 ref7 ref9 Porter (ref22) 1990; 1298 |
| References_xml | – volume: 46 start-page: 1325 issue: 10 year: 1980 ident: ref1 article-title: Reconstruction of multispatial, multispectral image data using spatial frequency content publication-title: Photogramm. Eng. Remote Sens. – ident: ref10 doi: 10.1109/IGARSS.1995.519644 – ident: ref7 doi: 10.1117/12.179787 – ident: ref20 doi: 10.1109/TSMC.1976.4309486 – volume-title: Fundamentals of Statistical Signal Processing: Estimation Theory year: 1993 ident: ref17 – ident: ref13 doi: 10.1016/S0034-4257(97)00090-4 – ident: ref18 doi: 10.1117/1.601623 – ident: ref12 doi: 10.1117/12.257182 – ident: ref19 doi: 10.1109/83.650116 – volume: 66 start-page: 49 year: 2000 ident: ref16 article-title: Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation publication-title: Photogramm. Eng. Remote Sens. – ident: ref9 doi: 10.1109/IGARSS.1995.524134 – volume: 1298 start-page: 11 year: 1990 ident: ref22 article-title: Evolution of the airborne visible/infrared imaging spectrometer (AVIRIS) flight and ground data processing system publication-title: Proc. SPIE doi: 10.1117/12.21332 – volume: 59 start-page: 67 year: 1993 ident: ref6 article-title: Resolution enhancement of multispectral image data to improve classification accuracy publication-title: Photogramm. Eng. Remote Sens. – ident: ref14 doi: 10.1016/S0034-4257(99)00074-7 – ident: ref15 doi: 10.1117/12.478792 – ident: ref11 doi: 10.1109/36.536531 – volume: 56 year: 1990 ident: ref3 article-title: The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data publication-title: Photogramm. Eng. Remote Sens. – ident: ref21 doi: 10.1109/TCOM.1980.1094577 – volume: 58 start-page: 561 year: 1992 ident: ref5 article-title: A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set publication-title: Photogramm. Eng. Remote Sens. – ident: ref8 doi: 10.1117/12.173573 – volume: 57 start-page: 295 issue: 3 year: 1991 ident: ref4 article-title: Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic publication-title: Photogramm. Eng. Remote Sens. – ident: ref2 doi: 10.1016/0034-4257(87)90049-6 |
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| SubjectTerms | 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 |
| Title | MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor |
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