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The width of urban road is various. Roads with different width have different appearance in an image. Multi-resolution analysis-based method for road extraction was proposed. Firstly, some wide roads in IKONOS multi-spectral imagery were extracted through using level setbased method. While some narrow roads, which are non-salient in 4m multi-spectral imagery, were extracted from 1m fusion imagery...
A method for monitoring and diagnosis the gear fault according to instantaneous energy spectrum based on the newly developed empirical mode decomposition (EMD) scheme is presented. EMD can adaptively decompose the vibration signal into a series of zero mean oscillatory functions called intrinsic mode functions (IMFs). Hilbert transform can track the instantaneous amplitude and instantaneous frequency...
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...
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...
An adaptive approach to the estimation of the instantaneous frequency (IF) of non-stationary and nonlinear multi-component signals is presented. This method relates to the newly developed empirical mode decomposition (EMD) and Teager Kaiser energy operator (TKEO). EMD can adaptively decompose signal into a series of zero mean amplitude modulation-frequency modulation (AM-FM) intrinsic mode functions...
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