1) extract layer,extract phase
提取层
2) layered extraction
分层提取
1.
Knowledge discovery and decision rules are applied to realize the feature layered extraction,based on the knowledge base,comprised by both spectral and geo-information,such as altitude,texture,geometry,mined from the new remote sensing data,old land use map and auxiliary information,DEM and slope map.
在拥有新期遥感数据和基期土地利用现状图的基础上,结合DEM和坡度图等辅助资料,充分挖掘数据的光谱信息、地形特征、地物纹理、几何形状等地学知识,构建各类别知识库,采用知识发现和决策规则,实现各地类的分层提取。
3) fault extraction
断层提取
4) Network abstraction layer(NAL)
网络提取层
5) multi-level edge extraction
多层边缘提取
1.
In this paper， we firstly introduce the visual feature model of human being． Considering the application of digital color image enhancement， we conclude one digital color image fuzzy enhancement algorithm which uses visual feature model to realize multi-level edge extraction． We also present a fast arithmetic in order to reduce the complexity and improve the performance
对人眼的视觉特征模型进行了分析和归纳，结合数字彩色图像增强的应用特点，提出了一种利用视觉特征模型多层边缘提取来实现数字彩色图像模糊增强的方法及其快速实现算法。
6) reservoir parameter extraction
储层参数提取
补充资料：层层加码
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