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。
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
出处
《影像技术》
CAS
2009年第4期24-27,34,共5页
Image Technology
关键词
地图压缩
矢量量化
自组织特征映射
分类码书
map compression
vector quantization
self-organizing feature mapping
sorting codebook.
