第三届国际未来智能对地观测会议文集
2007-8
科学出版社
Wang Chao，Roger King，Yan Dongmei，Zhou Guoqing 主编
639
The real-time acquisition and intelligent processing has emerged as an important trend of future Earth observation technologies. The international symposia on Future Intelligent Earth Observing Satellites (FIEOS) were previously hosted in Denver, Colorado, USA in 2002 and Istanbul, Turkey in 2004. The new technologies for future Earth observation, such as onboard processing systems, sensor integration, data processing and communication, and applications of satellite data, as presented in the previous symposia, are highlighted widely now. The 3rd Intemational Symposium of FIEOS (FIEOS 2006), held during 24-26 May, 2006 in Beijing, China, provided a good exchange platform for experts from all over the world to share their experience in the field of Earth observation technologies and applications.
Plenary Session Semantics-Enabled Knowledge Management for Global Earth Observation System of Systems From Global Earth Observation System of Systems to a Future Intelligent Earth Observing Satellite System From Data to Information,and from Information to Knowledge: An Overview of China State Major Basic Research Project Session 1: Architecture,Systems An Objectively Optimized Earth Observing System Geo-processing with Icosahedral Snyder Equal Area Aperture 4 Hexagon Discrete Global Grid System The Quick Renewal of 1:250,000 Map Database Using Space Remote Sensing Images Development of a Marine Ecosystem Health Assessment System Based on ArcObjects GIS Analysis of Rip Current and Spring Layer The Inquiry System of Water Quality Monitoring Model by Remote Sensing Technique Based on. NET Technology An On-board Mission Planning Model for Autonomous Spacecraft The Architecture of Cooperative Application System for a Future Earth Observing Satellite Network Use Materialized Views of a Database on WebGI Design of the Space System Simulation and Analysis Software……Session 2: SensorSession 3: Data Processing(1)Session 4: Data Processing(2)Session 5: Vegetation Remote SensiugSession 6: Landuse/Landcover ApplicationsSession 7: SAR and InSARSession 8: Ocean Remote Sensing
