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Integration of spatial information has recently emerged as a powerful tool in improving the classification accuracy of hyperspectral image (HSI). However, partitioning homogeneous regions of the HSI remains a challenging task. This paper proposes a novel spectral-spatial classification method inspired by the support vector machine (SVM) and superpixel segmentation. Core ideas of the proposed method...
Previous studies have demonstrate that the empirical mode decomposition (EMD) can provide significant improvements in hyperspectral classification due to its ability to extract the nature scale components (i.e. intrinsic mode functions (IMFs)) of the hyperspectral image (HSI) adaptively. However, the IMFs gained from various hyperspectral bands may be different in number and frequency, heavily compromising...
Higher and higher accuracy is demanded in the development of Hyperspectral images classification technology, which faces the challenge of increasing amount of data. This paper proposes to combine the standard support vector machine (SVM) classification technique, utilized for land-cover classification studies, with the quaternion wavelet transform (QWT) to enhance the classification accuracy of SVM...
This paper presents the design and implementation of a system of accelerometer-based hand gesture recognition. This system will be embedded within a modern remote control to improve human-machine interaction in the context of digital TV of Argentina. As the recognition of hand gestures is a pattern classification problem, two techniques based on artificial neural networks are explored: multilayer...
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