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Error caused by temperature change is one of the major reasons for restricting the promotion of Full Optical Fiber Current Transformer (FOCT) at present. This article analyzes how the change of temperature makes impact on the parameters of optical devices, such as the original phase of quarter-wave plate and the Verdet constant of the fiber. After the experimental data are sampled in a temperature...
To investigate remote sensing classification approach based on support vector machines (SVMs), we classify a remotely sensed image of urban area of Kunming, China, by SVM-based classifiers with radial basis function (RBF) as kernel function. The best values of parameter gamma (gamma) of RBF and penalty parameter C are chosen carefully through training phase. Then, data are classified by the SVM-based...
This paper reports our preliminary study that aims to examine the effectiveness of training methods for land cover classification by artificial neural networks. We consider three training methods, namely, the gradient descent method, the conjugate gradient method, and the Quasi-Newton method. We apply these methods to derive land cover information from a Landsat Enhanced Thematic Mapper Plus (ETM+)...
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