基于人工神经网络和经验知识的遥感信息分类综合方法
Remote Sensing Information Classification Based on Artificial Neural Network and Knowledge
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摘要: 提出基于三维Hopfield人工神经网络模型的遥感信息分类综合算法将遥感图象分 类与分类结果平滑过程有机地结合在一起,并方便地引入了经验知识指导网络进化.实验表 明该方法可明显提高森林类型划分、土地利用调查等遥感应用专题的分类精度.Abstract: This paper presents a remote sensing information classification method based on 3-D Hopfield neural network. It combines the classification process with the smoothing process ideally ,and guides the evolution of network with knowledge. The results of experiments indicate that the presented method can enhance the classification precision remarkably.
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