遥感影像理解智能化系统与模型集成方法

Knowledge-Based Intelligent RS Understanding System

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。

The intelligent remotely sensed image understanding is a topic of general interest on geo-analysis of Remote Sensing. This paper takes a brief review on the current intelligent methods and their shortcomings, points out the necessities of change to the multi-features unit method and how to merge knowledge in the process properly.Based on the discussion above, the fundamental ideas of the multi-feature analysis of remotely sensed images and knowledge-based neural network were introduced, and the whole framework of the this study is proposed.