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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...
Data fusion methods are often employed to balance contradiction between spectral information and spatial information of remotely sensed images. The fused images formed by an effective data fusion meth...
The focus of this paper is on the segmentation algorithm for the high resolution multispectral imagery to get regions which are roughly corresponding to land cover types. We propose the combination of...
Land use information is one of the most useful input element in forming policies concerning to economic, environmental issues at national and also at global levels. With the view of these different sp...
Using data fusion of multi-spectral and microwave radar images, a semiautomatic method is developed based on the level set method for application to urban road extraction. The fast marching method of ...
Remote sensing image fusion aims at integrating the information conveyed by data acquired with different spatial and spectral resolution from satellite and aerial platforms. Image fusion is a very imp...
Automated approaches to building detection are of great importance in a number of different applications including map updating and monitoring of informal settlements. With the availability of multi-s...
While many remote sensing and GIS applications require both the spatial resolution and spectral resolution be high, image fusion, or in other words, image sharpening, is a useful technique. To date, n...
A type of integrated remote sensing system (airborne multidimension integrated remote sensing system----AMIRS) which can acquire hyperspectral images,high special numeric stereo images and position-or...
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 ...
On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages——higher spatial resolution can be acquired from the PCA transformation; however...
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...
A spatial domain and frequency domain integrated approach was proposed to fusion multifocus images. The proposed multifocus image fusion algorithm was composed of computing Sum-modified-Laplacian(SML)...
The defection of single data source can be solved with fusion between TM and SAR images. It provides a better solution for land surface monitoring in the mining areas. Results of experiment showed tha...
Due to the special imaging model of SAR, its image includes certain special information that unavailable in multispectral image, however, the interpretation of SAR image becomes more difficult than vi...

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