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The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we...
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...
With the advent of a new generation of high resolution satellites, images are now available with less than 1 meter spatial resolution in panchromatic mode. For successful individual tree crown ident...
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...
Earth monitoring satellites provide us with various data in different parts of electromagnetic spectrum with a spectral, temporal and spatial quality. In order to make a complete use of image fusions...
Anthropogenic land use activities are significantly contributing to the ecological degradation of the Earth system. Therefore, having actual and reliable land cover information is fundamental to stud...

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