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In this paper, a novel spectral-spatial very high resolution images shadow detection algorithm based on random walker is proposed. First, a set of training samples is obtained by an improved Otsu based thresholding method automatically. Then, a widely used pixel-wise classifier, i.e., the Support Vector Machine (SVM), is applied to obtain an initial binary classification map. Finally, the initial...
In this paper, a novel model of Gabor Filtering based Deep Network (GFDN) for hyperspectral image classification is proposed. First, spatial features are extracted via Gabor filtering from the three principal components. Gabor filter can capture physical structures of hyperspectral images, such as specific orientation information. Then, the Gabor features and spectral features are simply staked to...
Satisfaction of customers has become essential in the telecom service commitment, the user-perceived quality-of-service (QoS) has been proposed. According to our knowledge, the existing network assessment models have not been associated with the user behavior. Network capacity, packet loss rate and transmission delay are believed to be the key factors in the assessment of network QoS. To fill the...
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