Due to low efficiency of river channel remote sensing images artificial interpretation, river classification of image recognition system was proposed.
针对河流遥感图像形状类型人工图像解译效率低，提出了河流图像自动识别分类方法。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
We focus on the reducing search time of block matching procedure by replacing full search matching with matching in the neighbourhood and matching based on classification of image block.
此文改全局匹配为邻域匹配和分类匹配，从二条途径探讨了缩短匹配时间的方法。
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