地理科学进展 ›› 2000, Vol. 19 ›› Issue (4): 289-296.doi: 10.11820/dlkxjz.2000.04.001

• 论文 •    下一篇

遥感影像智能图解及其地学认知问题探索

骆剑承   

  1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京100101
  • 收稿日期:2000-09-01 修回日期:2000-11-01 出版日期:2000-12-25 发布日期:2000-12-25
  • 作者简介:骆剑承(1970-),男,博士。现于资源与环境信息系统国家重点实验室从事基础研究,并为香港中文大学博士后研究人员,研究方向是空间数据挖掘、遥感图像处理、空间信息认 知等,发表学术论文20余篇。E-mail:luojc@cuhk.edu.hk
  • 基金资助:

    中国科学院创新项目(KZCX1-Y-02)

Remote-Sensing Intelligent Geo-Interpretation Model and its Geo-Cognition Issue

LUO Jian cheng   

  1. LREIS, Institute of Geographic Science and Resources Research, CAS, Beijing 100101, China
  • Received:2000-09-01 Revised:2000-11-01 Online:2000-12-25 Published:2000-12-25

摘要: 本文提出遥感地学智能图解模型 (RSIGIM)概念 ,主要内容是如何模拟地学专家对遥感影像的综合解译和分析过程 ,对遥感影像中包含的地物目标进行描述、识别、分类和解释 ,提取遥感影像中地物目标所属的类别 ,判别其大小、结构、相互关系等地学属性及遥感成像机理、内部特征 ,进一步融合地学分析模型 ,预测地理现象和地理过程的发展趋势 ,作出决策性规划。 RSIGIM的核心问题——遥感地学智能图解中的认知模型 ,具有层次结构 ,从低到高包括基于数理统计的影像基本处理和分析模型、基于神经计算模型影像视觉生理认知模型和基于符号知识逻辑心理认知模型等三个层次的分析认知模型。

关键词: 地学认知, 视觉生理认知, 视觉心理认知, 遥感地学智能图解

Abstract: In this study, the notion of Remote Sensing Intelligent Geo Interpretation Model (RSIGIM) is firstly presented. The main task of RSIGIM is to automatically simulate the human’s interpretation to the remote sensing image. The initial target of RSIGIM is to describe, recognize, extract, classify and interpret the feature from RS image, and further to identify Geo properties and inner characters of the feature, such as size, structure, relationship. Integrated with geographical analysis model, the end target aims to mine out the geographical phenomenon, to predict developing process hidden in the large capacity of spatial data. The crucial issue of RSIGIM is to establish its cognition model, which is initially designed as a hierarchical structure. From low layer to high layer, three components, including statistical processing and analyzing model, neural computation and evolutionary computation based vision physiological cognition model, symbolic knowledge logic reasoning based vision psychological cognition model, are integrated to constitute relatively perfect cognition model.

Key words: Geo Cognition, RSIGIM, Vision Physiological Cognition, Vision Psychological Cognition

中图分类号: 

  • P627