Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images

In this letter, a general Bayesian data fusion (BDF) approach is proposed and applied to the spatial enhancement of ASTER thermal images. This method fuses information coming from the visible or near-infrared bands (15 times 15 m pixels) with the thermal infrared bands (90 times 90 m pixels) by expl...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2008-10, Vol.5 (4), p.598-602
Main Authors: Fasbender, D., Tuia, D., Bogaert, P., Kanevski, M.
Format: Article
Language:English
Subjects:
Bayesian methods
Change of support
Fuses
Infrared imaging
multispectral images
Multispectral imaging
Multivariate regression
pansharpening
Principal component analysis
Remote sensing
Risk analysis
Spatial resolution
Wavelet analysis
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Summary:In this letter, a general Bayesian data fusion (BDF) approach is proposed and applied to the spatial enhancement of ASTER thermal images. This method fuses information coming from the visible or near-infrared bands (15 times 15 m pixels) with the thermal infrared bands (90 times 90 m pixels) by explicitly accounting for the change of support. By relying on linear multivariate regression assumptions, differences of support size for input images can be explicitly accounted for. Due to the use of locally varying variances, it also avoids producing artifacts on the fused images. Based on a set of ASTER images over the region of Lausanne, Switzerland, the advantages of this support-based approach are assessed and compared to the downscaling cokriging approach recently proposed in the literature. Results show that improvements are substantial with respect to both visual and quantitative criteria. Although the method is illustrated here with a specific case study, it is versatile enough to be applied to the spatial enhancement problem in general. It thus opens new avenues in the context of remotely sensed images.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2008.2000739