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Pansharpening techniques aim at improving the spatial resolution of a multispectral data set (MS) by using a panchromatic image (Pan) acquired on the same scene with a greater spatial resolution and consequently a lower ground sample distance (GSD). Usually, a quantitative assessment of the fused products cannot be directly performed because of the lack of a reference MS data set with the same GSD...
Launched in 2008, THEOS has successfully received data. China has signed an agreement about receiving, processing, archiving, and distributing THEOS data with GISTDA. The data of THEOS will soon be applied to and play an important role in resources surveying, environment monitoring, disaster assessing, mapping, and digital city. However, the study about pansharpening methods of THEOS images is still...
Many image fusion techniques have been proposed so as to achieve optimal resolution in the spatial and spectral domains. The Beijing-1 Micro-Satellite images have their own unique characteristics. The resolution ratio of its multi-spectral image to panchromatic image exceeds 4:1. It is often a challenge to pan-sharpen images with such a high spatial resolution ratio. In this paper, our study is to...
Because the characteristics of remotely sensed data vary greatly with the sensors, spectral and spatial resolutions are practically unique for each sensor. Therefore, there is a real need for a theoretical framework that aims at merging information from two or more different sources. In this paper, a new Bayesian data fusion (BDF) framework is used in order to tackle several classical remote sensing...
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