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Multi-scale decomposition (MSD) approaches are very useful in image processing and play an important role in image fusion algorithm. This paper proposes a novel image fusion algorithm using pyramidal empirical mode decomposition (PEMD). The principle of PEMD consists of performing a pyramid transform on intrinsic mode functions (IMF) and the residual image of empirical mode decomposition (EMD). The...
This paper develops a new representation to detect the edge features on multispectral remotely sensed imagery which is based on the concept of combining dyadic wavelet transform of Mallat with first fundamental form. The dyadic wavelet transform can be applied to produce the multiscale edge detection, and making use of the first fundamental form is for edge detection of multispectral images. The representation...
Image segmentation is a valuable approach that performs an object-based rather than a pixel-based analysis of high-resolution remotely sensed imagery. An approach for segmenting the multispectral QuickBird image based on first fundamental form is proposed. The value of multispectral image at a given point can be regarded as N-dimensional vector, and the difference of image values can be defined from...
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