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A new image fusion method of SAR, Panchromatic (Pan) and multispectral (MS) data is proposed. First of all, SAR texture is extracted by ratioing the despeckled SAR image to its low passapproximation, ...
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...
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...
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 ...
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...
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...
High spatial resolution remote sensing data are expensive and hard to cover the whole basin at the same time in Tarim river basin, while, the low spatial resolution data, such as MODIS, which spatial ...
This paper proposes a method of high-resolution remote sensing image of buildings on semi-automatic edge extraction. The first, pre-process remote sensing image and detecting all the edge; the second,...
Vectorization of raster data is very important in GIS. Adjacent vertices of vector graphics usually pass though the same vertical or horizontal straight lines after vectorization. This paper proposes ...
Change detection methods of remote sensing have been developed from pixel-based to feature-based and the data sources of change detection have been developed from medium-resolution to high resolution ...
In Beijing, the earth surface changes has reached 5 % each year, and artificial detection with high resolution images has been applied to peccancy building monitoring and road change detection. The ma...
Support vector machines (SVMs) is a statistical learning method with good performance when the sample size is small, due to their excellent performance, SVMs are now used extensively in pattern classi...
Synthetic Aperture Radar (SAR) has been get broad recognition and application in many domains such as surveying and mapping.But the SAR speckles influence the interpretation of the image badly. In thi...
Wetlands are considered an integral part of the global ecosystem, the development of the remote sensing technology makes us obtain very abundant information of wetlands, especially with the appearance...

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