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As different types of noises coming from different vehicles and weapons mix together, it is a challenge to identify acoustic objectives in such a noisy situation. A systematical study of acoustic objective recognition in wireless sensor network is conducted in this paper. At first, the acoustic target recognition model is introduced, which is based on the characteristics of wireless sensor networks...
This paper proposes a dimensionality reduction and compression method of hyperspectral images based on independent component analysis (ICA) and mixed contourlet and wavelet transform (MCWT) for hyperspectral image analysis. At first, the spectral correlations of hyperspectral images are removed using ICA and dimensionality reduction is accomplished. Then, dimensionality reduction images are compressed...
As a common natural phenomenon, fog makes photographed images blurred, thus bringing great difficulty for monitoring of outdoors image, target identification and tracking and so on. In this paper, the authors propose a new method for foggy image enhancement that integrates multilevel wavelet decomposition, the auto-adapted LUM filter, soft threshold and so on. Firstly, carry on the multilevel wavelet...
A multiscale geometric analysis method based on wavelet and uniform directional filter banks (WUDFB) is structured in order to overcome the insufficiencies of contourlet transform and wavelet-based contourlet transform which are used in compression. A novel WUDFB-based compression algorithm of hyperspectral imagery is proposed, in which intra-band WUDFB and inter-band prediction are used to remove...
Transformer faults are quite complicated phenomena and can occur due to a variety of reasons. There have been several methods for transformer fault synthetic diagnosis, but each of them has its own limitations in real fault diagnosis applications. In order to overcome those shortcomings in the existing methods, a new transformer fault diagnosis method based on a wavelet neural network optimized by...
Fatigue driving is an important reason of traffic accidents. Yawning is an evidence of driver fatigue. This paper proposes to locate and track a driver's mouth movement using a CCD camera to study on monitoring and recognizing a driver's yawning. Firstly detecting drivers' faces uses Gravity-Center template, then detecting drivers' left and right mouth corners by grey projection, and extracting texture...
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