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Buildings and adjacent objects in the high spatial resolution images Present the spatial correlation due to the spectral similarity. In addition, the spectral details of building top are completely reflected in images because of resolution levels increased from meter to sub-meter. K-means algorithm is a classical clustering algorithm. Fine spectrum, low signal to noise ratio (SNR) and high spatial...
In this paper, a multiple fault diagnosis method based on case-based reasoning (CBR) is presented. And the characteristics of multiple fault modes are studied, then the case knowledge library is established for multiple faults, finally a two-step case retrieval strategy is proposed. The candidate case generation method based on the membership weights is employed to initially retrieve, which can reduce...
After the aerial object enters the water, the physical change of bubbles in the water is quite complex. In view of this situation, a new method for feature extraction of bubble sound from the water entry of an object based on empirical mode decomposition and pseudocomponent criterion is proposed. Using the method, volume pulsation of the bubble is made. The experimental study on the water entry sounds...
In optical correlation target auto-detection and recognition, distortion invariant (rotation invariant and scale invariant) image recognition is the hard technology. The main character of minimum average correlation energy (MACE) filters in image recognition is high peak acuity, but it is sensitive to distortion, so its application is limited. Combine data fusion technology with the algorithm of MACE,...
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