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Oil spills in oceans have a significant long term effect on the marine ecosystem and are of prime concern for maritime economy. In order to locate and estimate the oil spread area and for quantitative...
Hyperspectral remote sensing is more effective than multispectral remote sensing in many application fields because of having hundreds of observation bands with high spectral resolution. However, hype...
This work describes our findings about an evaluation of the stability and the consistency of twenty primary PICSs (Pseudo-Invariant Calibration Sites). We present an analysis of 13 years of 8-daily MO...
Automating the map generalization process has traditionally been a major focus of research in cartography and GIS environment, even though a usable holistic generalization method is still lacking. The...
Within the last few decades, there has been exponential growth in the research, development, and utilization of Geospatial Information Systems (GIS). While GISs have been developed to challenge most t...
This paper presents a numerical method for aerodynamic shape optimization problems in compressible viscous flow. It is based on simultaneous pseudo-time stepping in which stationary states are o...
There is tremendous market potential for location-based services (LBS), enabled by the rapid growth in the numbers of personal navigation devices and GPS-enabled mobile handsets. One of the major diff...
The paper presents numerical results of optimized airfoils at ultra-low Reynolds numbers. These investigations are carried out to understand the aerodynamic issues related to the low speed and micro...
This paper considers a statistical approach to define pseudo-moving (false) objects in video surveillance systems by constructing systems of hypothesis with the criteria based on statistical behaviora...
The quality of rock bolt anchoring is closely related to the stability and safety of underground engineering and slope protection. In this paper, non-destructive testing of rock bolts is proposed base...
In the case of fault diagnosis for roller bearings, the conventional diagnosis approaches by using the time interval of energy impacts in time-frequency distribution or the pass-frequencies are based ...
In the case of fault diagnosis for roller bearings, the conventional diagnosis approaches by using the time interval of energy impacts in time-frequency distribution or the pass-frequencies are based ...
In 112Gbit/s optical coherent transmission context, we propose decision-directed and blind adaptive equalizers using variable step size suitable for 16-QAM. The considered algorithms offer better stea...
基于Pseudo-Zernike不变矩的PNN车牌汉字识别     车牌识别  Pseudo-Zernike不变矩  概率神经网络       font style='font-size:12px;'> 2009/8/12
基于不变矩理论,提出一种应用概率神经网络作为识别器的车牌汉字识别技术。利用Pseudo-Zernike矩特征的旋转不变性和良好的抗噪性能,将其作为车牌汉字识别的特征矢量,结合Pseudo-Zernike矩的快速算法和概率神经网络识别器快速学习和识别的性能,可适应实时环境下所获取的车牌汉字灰度图像的识别,具有较高的准确率,实验结果表明了该方法的有效性。
A lossy electric power system that contains thermal units and a pumped-storage hydraulic unit is considered in this paper. The total cost of thermal units in an operation cycle is minimized under some...

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