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In this paper, a new classification scheme of fully polarimetric SAR images is proposed. This is based on the joint use of the Freeman-Durden decomposition and generalized discriminant analysis, a new method for Feature extraction. After getting the powers of the three scattering mechanism components through Freeman-Durden decomposition, the Feature extraction algorithm is introduced to well exploit...
Accurate traffic flow forecasting is crucial to the development of intelligent transportation systems (ITS). Based on statistical learning theory, support vector machine (SVM) has better generalization performance and can guarantee global minima for given training data. However, the good generalization performance of SVM highly depends on the construction of kernel function. An effective multi-scale...
Accurate traffic flow forecasting is the key to the development of intelligent transportation systems (ITS). However, the classical forecasting method using the support vector regression (SVR) based on RBF kernel does not support online learning and has the problems of information loss, long processing time, low robustness and so on. An effective Marr Wavelet kernel which we combine the wavelet theory...
Traffic flow is a fundamental measure in transportation. Accurate traffic flow prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. A novel multiscale wavelet support vector regression method (MW-SVR) is proposed for traffic flow prediction. Based on wavelet multi-resolution analysis, a scaling kernel function with multi-resolution...
In this paper, we propose an based on KHA for extraction of shift invariant multiwavelet features of texture images. The feature extraction process involves a normalization followed by a shift invariant multiwavelet packet transform. The normalization converts a given image into a size invariant image which is then passed to the shift invariant multiwavelet packet transform to generate subbands of...
Accurate traffic flow forecasting is key to the development of intelligent transportation systems (ITS). The support vector regression (SVR) method is employed for traffic flow forecasting and the comparative results between SVR and BP model using real traffic data of SCOOT system in Dalian city is also presented in this paper. Since support vector machines have better generalization performance and...
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