Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2000, Vol. 15 Issue (3): 199-204    DOI: 10.11873/j.issn.1004-0323.2000.3.199
    
Remote Sensing Intelligentized Geo-Analysis
LUO Jian-cheng1,YANG Yan2
(1.State Key Lab.Of Resources and Environmental Information System,
The Chinese Academy of Sciences,Beijing100101,China;2.Institute of Environmental Science,Beijing Normal University,Beijing100875,China)
Download:  PDF (0KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

With the rapid development of space technology, computing technology and information
technology, much deep research is carried through on remote sensing information processing and analysis
model and methods. The remote sensing information science, which integrate with earth sciences,
mathematics, physics, computer science and information science, is being formed in recent years. Remote
sensing geo-analysis is also developed to the direction of intelligentization. In this paper, the key questions
on remote sensing intelligentized Geo-Interpretation Model (RSIGIM) is presented. RSIGIM includes
statistical model based RS image process and analysis, physiological vision model based RS image
cognition, and psychological symbolic logic model based RS image cognition.

Key words:  Remote sensing geo-analysis      Intelligence      RSIGIM     
Received:  22 May 2000      Published:  23 February 2012
TP 75  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

LUO Jian-cheng,YANG Yan. Remote Sensing Intelligentized Geo-Analysis. Remote Sensing Technology and Application, 2000, 15(3): 199-204.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2000.3.199     OR     http://www.rsta.ac.cn/EN/Y2000/V15/I3/199

〔1〕 田国良.遥感基础研究的范畴及其在遥感应用发展中的意义〔J〕.环境遥感,1994,9(3):168~176.
〔2〕 徐冠华.遥感与资源环境信息系统应用与展望〔J〕.环境遥感,1994,9(4):241~246.
〔3〕 陈述彭.遥感地学分析的时空维〔J〕.遥感学报,1997,1(3):161~171.
〔4〕 陈述彭,赵英时.遥感地学分析〔M〕.北京:测绘出版社,1990.
〔5〕 Wilkinson G G.A Review of Current Issues in the Integration of GIS and Remote Sensing Data〔J〕. Int J Geographical Information Systems,1996,10(1):85~101.
〔6〕 Atkinson P M,Tatnall A R L.Neural Networks in Remote Sensing〔J〕.Int J Remote Sensing,1997,18(4):699~709.
〔7〕 梁怡.人工智能、空间分析与空间决策〔J〕.地理学报,1997,52(增刊):104~113.
〔8〕 李德仁.论自动化和智能化空间对地观测数据处理系统的建立〔J〕.环境遥感,1994,9(1):1~10.
〔9〕 Fischer M M, Getis A. Recent Developments in Spatial Analysis: Spatial Statistics, Behavioural Modelling, and
Computational Intelligence〔M〕. Springer-Verlag Berlin,1997.
〔10〕Fischer M M. Computationl Neural Networks-A New Paradigm for Spatial Analysis〔Z〕.Geographic Information System and Spatial Analysis LREIS,1998.
〔11〕Yee Leung.Intelligent Spatial Decision Support Systems〔Z〕.Springer,1997.
〔12〕Clark C,Canas A.Spectral Identification by Artificial Neural Network and Genetic Algorithm〔J〕.Int J Remote Sensing,1995,16(12):2255~2275.
〔13〕Hinton J C. GIS and Remote Sensing Integration for Environmental Application〔J〕. Int J Geographical
Information Systems,1996,10(7):877~890.
〔14〕陈述彭,何建邦,承继成.地理信息系统的基础研究——地球信息科学〔J〕.地球信息,1997,3:11~20.
〔15〕陈述彭,曾杉.地球系统科学与地球信息科学〔J〕.地理研究,1996,15(2):1~11.
〔16〕鲁学军,励惠国.数字地球与地球信息科学〔J〕.地球信息科学,1999,1:41~49.
〔17〕周成虎,鲁学军.对地球信息科学的思考〔J〕.地理学报,1998,53(4):372~380.

No Suggested Reading articles found!