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In this paper, we propose a new multi-resolution fusion algorithm for spatially registered multi-sensor images fusion. First, we use a modified watershed algorithm to produce a region map of source images. This segmentation is then used to generate region-based decision map, which is obtained based on local texture features in the dual-tree discrete wavelet transform domain. The region-based decision...
A pixel-level fusion approach is proposed to refine the resolution of urban multi-spectral images using the corresponding high-resolution panchromatic images. After the two images are decomposed by wavelet transform, three texture features are extracted from high-frequency detailed sub-images. Then a fuzzy fusion rule is used to merge wavelet coefficients from the two images according to the extracted...
The traditional Gabor transform need calculate convolution with whole image when extract expression feature. So, the feature dimensions are very large and computation complexity is very high. Though some improved methods can reduce the feature dimensions and computing cost by manually marking out the feature points, but those methods need intense human intervention and can not meet to the need of...
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