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This study investigates the characteristics of periodic surface in agriculture by the use of C-band polarimetric synthetic aperture radar (PolSAR) imagery. The scattering characteristics of the periodic potato fields in different directions are highlighted using a set of polarimetric parameters. Enhanced coherent scattering is observed when the alignment direction of ridging patterns is perpendicular...
Gene expression programming (GEP) is a new evolutionary algorithm, which has the very good applications in the field of function finding. In view of the insufficiency of traditional GEP, this paper puts forward an improved gene expression programming algorithm based on hybrid strategy (HSI-GEP). This paper has two improvements: (1) using mirror and reset mechanism to replace the inferior individuals...
The blade vibration of the wind turbine is mainly caused by the natural vibration of the blade, the random vibration of the wind and vibration of the bearing of the input side. Collecting vibration wave on the blade and surrounding, then separate the independent waveforms from the collected waveforms by fixed point fast separation (Fast ICA) algorithm, finally, make analysis of the spectrum of the...
The article based on the MATLAB software simulation was carried out on the image fusion, by using wavelet transform method, Lap lace pyramidal decomposition method and weighted average method of image fusion, respectively. And the integration of subjective evaluation and objective evaluation on the experimental results. The experimental results show that the wavelet transform method in image fusion...
Inspired by the evolution process of human, a double system co-evolutionary gene expression programming (DSCE-GEP) is proposed in this paper. The DSCE-GEP consists of natural evolution system and artificial intervention system, where the natural evolution system solves problem according to the mode of standard gene expression programming (ST-GEP) and the artificial intervention system guides the process...
In order to solve the problem that the parameters of cloud model are difficult to get and the weight of performance index is difficult to obtain when adopt single objective optimization algorithm. A new design of cloud model controller based on multi-objective optimization is proposed. In the first stage, set the system overshoot, settling time, and ITAE index as the optimization objectives, then...
Considering noise interference often exists in audio processing, it is not robust enough to calculate audio similarity by using distance measure directly. In this paper, basing on Renyi's quadratic entropy, a novel scheme for audio similarity measure is proposed. In our work, we extract Mel Frequency Cepstral Coefficients (MFCCs) to represent each audio, and then calculate the similarity based on...
Often in face of deciding schemes with many factors in production and life, relational analysis of the factors is an important basis of decision. The decision method is analyzed and studied to avoid strong subjectivity and improve weighting rationality. Optimization and entropy of information are used to adjust the weighting values of each factor and BP neural network to learn how to train assignment...
In this paper, a new method for real-time rendering of three-dimensional terrain is proposed. The method combines together several methods such as block data, view-dependent multi-resolution LOD, view frustum culling etc. It exploits a new method to measure the terrain curvature. The new method uses multiple-approach to simplify terrain model and reduce the cost of memory, which can improve efficient...
Based on quantum chemical descriptors and topological descriptors, temperature-dependent predictive models for vapor pressures (P) of oxygen-containing polycyclic aromatic hydrocarbons (OPAHs) were developed following a variable selection procedure. The cross-validated Qcum4 of the final model, 0.930, shows that the model has good predictive ability and robustness. In view of difficulties to measurements...
Since the neighborhood entropy can indicate the information of the region and eliminate the effects of registration caused by the variety of image brightness. A synthetical approach of automatic registration for the synthetic aperture radar image is proposed. The SAR images are preprocessed, and then the neighborhood entropy of image is calculated. Finally, the image registration is accomplished by...
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