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遥感影像生理认知概念模型和方法体系
引用本文:骆剑承,周成虎.遥感影像生理认知概念模型和方法体系[J].遥感技术与应用,2001,16(2):103-109.
作者姓名:骆剑承  周成虎
作者单位:中国科学院地理科学与资源研究所
摘    要:目前遥感地学理解和分析研究的前沿是以遥感地学分析模型为支持,运用统计分析、神经计算、知识处理模型、地学优化等技术,对遥感信息、地学知识的相互作用进行综合运用,建立集成地学知识、地理信息和遥感信息等处理分析模型的智能化遥感影像地学理解与分析系统。地学认知问题是遥感地学理解和分析的核心问题。以神经计算和进化计算为理论基础,探讨如何从模拟生理视觉的角度实现对遥感影像的地学认知,初步提出了融合地学知识的遥感影像生理认知模型及其方法体系。

关 键 词:遥感影像  神经计算  进化计算  生理认知  地学知识
文章编号:1004-0323(2001)02-0103-07
修稿时间:2001年3月23日

Physiological Cognition Model and Methodological System for Remote Sensing Image
LUI Jian cheng,ZHOU Cheng hu.Physiological Cognition Model and Methodological System for Remote Sensing Image[J].Remote Sensing Technology and Application,2001,16(2):103-109.
Authors:LUI Jian cheng  ZHOU Cheng hu
Abstract:To build geographical cognition model has been regarded as one of the most important point in the research of Geo\|understanding and analysis for remote sensing image. In this article, the theories and methods of integrating Geo\|scientific knowledge, Geographical information and Remote Sensing Information in the processing and analyzing of spatial data are synthetically discussed, and the physiological vision cognition model is proposed based on two basic computation theory, including neural computation and evolutionary computation theory. Within the proposed model, three main components, including the physiological Geo\|vision emulation procedure with Artificial Neural Network (ANN) and Genetic Algorithms, Geo\|optimization model for remote sensing image, and knowledge\|integrated intelligent cognition system, are mainly included. Furthermore, several detailed physiological vision cognition algorithms for remote sensing image and their applying way are introduced based on the proposed framework.
Keywords:Remote sensing image  Neural computation  Evolutionary computation  Physiological cognition  Geoscientific knowledge
本文献已被 CNKI 维普 万方数据 等数据库收录!
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