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In remote-sensing image processing, fusion (pan-sharpening) is a process of merging high-resolution panchromatic and lower resolution multispectral (MS) imagery to create a single high-resolution colo...
2DPCA is introduced in remote sensing image fusion, and three forms of 2DPCA-based remote sensing image fusion method are proposed according to the different evaluation methods of the projectionvector...
The fusion of the panchromatic (PAN) image with multispectral (MS) images is a very useful tool for remote sensing applications that require both high-spatial and high-spectral resolution. A hybrid fu...
Image fusion is a critical issue for remote sensing, and many algorithms have been developed. Image quality assessment of fused image might provide comparison between fusion methods, but the conclusio...
The paper focuses on image fusion between multi-spectral images and panchromatic images using a wavelet analysis method with good signal processing and image processing traits. A new weighting techniq...
Along with computing capability of the Graphic Processing Unit (GPU) getting more powerful, GPU is widely applied to the general purpose computing not just restrict to graph manipulation. Remote sensi...
Remote sensing images fusion can not only improve the spatial resolution for the original multispectral image, but also preserve the spectral information to a certain degree. In order to find out the ...
Data fusion is a formal framework in which is expressed means and tools for the alliance of data originating from different sources.It aims at obtaining information of greater quality; the exact defin...
Remote sensing image fusion can effectively improve the accuracy of image classification. This paper proposes an image fusion algorithm based on extensions of independent component analysis (ICA) and ...
Panchromatic and multispectral images are useful for the acquisition of geospatial information about the Earth surface for the assessment of land resources and environment monitoring. Panchromatic ima...
This research explored the potential benefits of fusing optical and Synthetic Aperture Radar (SAR) medium resolution satellite-borne sensor data for forest structural assessment. Image fusion was appl...
In this paper, we will investigate techniques for the combination of image fusion and segment based image analysis. We describe a color preserving iconic fusion with subsequent segmentation and classi...
In this paper, we perform multi-sensor multi-resolution data fusion of Landsat-5 TM bands (at 30 m spatial resolution) and multispectral bands of World View-2 (WV-2 at 2 m spatial resolution) through ...
Korea is providing images with the resolution of 6.6m level as launching multi-purpose satellite, Arirang satellite, in Dec.1999. This study analyzed advantages and disadvantages of image fusion metho...
The fusion of high-spectral but low spatial resolution multispectral and low-spectral but high spatial resolution panchromatic satellite images is a very useful technique in various applications of re...

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