说明：  遥感影像理解智能化系统与模型集成方法 智能化遥感影像分析理解是当前遥感地学分析中的研究热点。本文通过分析当前智能化方法在应用中存在的两个主要问题 ,指出了智能化遥感影像分析向基于多特征单元为分析对象转变的必要性以及如何在分析过程中更好的融合知识。在此基础上 ,介绍了多特征单元遥感影像分析和基于神经网络的知识处理的基本思想。并对如何建立基于知识智能计算的多特征单元遥感影像分析理解方法体系进行了探讨 ,给出了概念框架图
(Remote sensing image understanding systems and intelligent integration model of intelligent remote sensing image analysis methods to understand the current remote sensing analysis of research focus. By analyzing the present two major problems in the application of intelligent methods exist, and points out intelligent analysis of remote sensing image based on multi-feature cell to analyze the need for the transformation of the object and how to better integration of knowledge in the analysis process. On this basis, it describes multi-feature cell remote sensing image analysis and knowledge processing based on the basic idea of neural networks. And how to build more units feature remote sensing image analysis based on intelligent computing knowledge to understand methodology was discussed, the concept of frames)