| 基于自组织特征映射神经网络的地图压缩 |
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| 引用本文： | 顾强,赵百林,陆钰.基于自组织特征映射神经网络的地图压缩[J].影像技术,2009,21(4):24-27,34. |
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| 作者姓名： | 顾强 赵百林 陆钰 |
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| 作者单位： | 解放军炮兵学院三系,合肥,230031 |
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| 摘 要： | 本文在介绍自组织特征映射（SOFM）神经网络的基础上，针对基于自组织特征映射神经网络的矢量量化算法，提出使用该算法对彩色地图进行压缩。实验表明此方法对地图具有明显的压缩效果，对其色彩进行了优化。压缩后地图的细节有一定损失，但不影响地图的判读。
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| 关 键 词： | 地图压缩 矢量量化 自组织特征映射 分类码书 |
Map Compression Based on Self-organizing Feature Map Neural Network |
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| GU Qiang,ZHAO Bai-lin,LU Yu.Map Compression Based on Self-organizing Feature Map Neural Network[J].Image Technology,2009,21(4):24-27,34. |
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| Authors: | GU Qiang ZHAO Bai-lin LU Yu |
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| Affiliation: | ( Artillery Academy of PLA, Hefei 230031 ) |
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| Abstract: | Self-organizing feature mapping （SOFM） neural networks are introduced in this paper firstly. In the light of the theories of vector quantization （VQ）, it is put forward to compress maps by using the algorithm. Experimental result shows that this method does good effect on the compression, and the color is optimized. There is some loss in the compressed map, which does not affect the map reading |
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| Keywords: | map compression vector quantization self-organizing feature mapping sorting codebook |
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