There exist a number of satellites on different earth observation platforms, which provide
multispectral images together with a panchromatic image, that is, an image containing …

The focus of the current study is to compare data fusion methods applied to sensors with
medium-and high-spatial resolutions. Two documented methods are applied, the spatial and …

The panchromatic (PAN) band is accessible at a much higher spatial resolution than the
thermal infrared (TIR) band in remote sensing satellites. To mitigate this issue, current …

An unmixing-based data fusion technique is used to generate images that have the spatial
resolution of Landsat Thematic Mapper (TM) and the spectral resolution provided by the …

Monitoring vegetation dynamics is fundamental for improving Earth system models and for
increasing our understanding of the terrestrial carbon cycle and the interactions between …

Image fusion aims at improving spectral information in a fused image as well as adding
spatial details to it. Among the existing fusion algorithms, filter-based fusion methods are the …

Remote sensing technology plays an important role in monitoring rapid changes of the
Earth's surface. However, sensors that can simultaneously provide satellite images with both …

An efficient pansharpening method should inject the missing geometric information to the
multispectral (MS) image while preserving its radiometric information. Widely used additive …

In this paper, we propose a model-based approach for the multiresolution fusion of satellite
images. Given the high-spatial-resolution panchromatic (Pan) image and the low-spatial …

Probably the most popular image fusion method is that based on the intensity-hue-saturation
(IHS) transform. Although the spatial enhancement of the IHS-merged images is high, the …