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In character recognition, convolutional neural network (CNN) outperforms most of the other models. However, to guarantee a satisfactory performance, CNNs usually need a great number of samples. Due to the differences between the Chinese and the alphanumeric characters, the most common way to recognize the two classes is to use two independent CNNs respectively. In this paper, to solve the problem...
The paper presented a case study on build an archetypical BRDF (bidirectional reflectance distribution function) parameters database for every 16-day period of a year for the snow and no snow condition with multiyear remote sensed data. A database (the 3Y DB) for MODLAND tile H26V06 was built through inversed high-quality BRDF parameters using the RossThick-LiSparse-Reciprocal model with three-year...
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