| 基于ANFIS和减法聚类的遥感红外目标分选 |
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| 引用本文： | 陈修桥,胡以华,蔡晓春,张军. 基于ANFIS和减法聚类的遥感红外目标分选[J]. 计算机工程与科学, 2006, 28(8): 50-52 |
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| 作者姓名： | 陈修桥 胡以华 蔡晓春 张军 |
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| 作者单位： | 1. 总参第54研究所,北京,100083
2. 电子工程学院,安徽,合肥,230037 |
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| 摘 要： | 针对自适应神经模糊推理系（ANFIS）的结构特点，本文应用多个ANFIS组合的网络来解决多目标分选问题。为了给ANFIS赋予一个合适的初始状态，减法聚类被用于预处理输入特征数据，实现了网络结构和初始参数的优化。基于ANFIS的红外航母和大型舰船目标分选仿真实验证明，其学习速度快、目标分选准确。
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| 关 键 词： | ANFIS 聚类 识别 红外目标 |
| 文章编号： | 1007-130X(2006)08-0050-03 |
| 修稿时间： | 2005-01-13 |
Infrared Remote Sensing Target Classification Based on ANFIS and Subtractive Clustering |
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| CHEN Xiu-qiao,HU Yi-hua,CAI Xiao-chun,ZHANG Jun. Infrared Remote Sensing Target Classification Based on ANFIS and Subtractive Clustering[J]. Computer Engineering & Science, 2006, 28(8): 50-52 |
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| Authors: | CHEN Xiu-qiao HU Yi-hua CAI Xiao-chun ZHANG Jun |
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| Abstract: | As for the characteristics of the adaptive network-based fuzzy inference system (ANFIS), the paper applies a network based on multiple ANFISs to solve the problem of multiple target classification. The input feature data is processed first by subtractive clustering, which can optimize the network structure and initialize the parameters of ANFIS. The simulation of infrared remote sensing target classification based on ANFIS and subtractive clustering proves that the algorithm can efficiently and accurately classify targets. |
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| Keywords: | ANFIS |
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