Record Search Query: [Science_Parameters: Science_Category='EARTH SCIENCE', Science_Topic='CLIMATE INDICATORS', Science_Term='HUMIDITY INDICES']
GeoEye: Internet-Based Geoprocessing of Hybrid Spatial Data
Entry ID: GeoEye
Abstract: Digital technology is moving rapidly to distributed computing. It is now
possible for parts of a database to be stored and maintained at different
locations for users to take advantage of economical or specialized processing
at remote sites. On the other hand, over the next ten years, the complexity of
geospatial databases will grow significantly through the use of commercial
satellites, and ... space-borne and airborne multiple sensors. Integrated
management and processing of hybrid data sets, i.e., vector maps and raster
images, becomes an emerging issue.
Internet-based geoprocessing of hybrid spatial data in this context means
efficient management, transmission and fusion of raster and vector data over
the Internet. Due to (a) lack of knowledge to the integrated management of
hybrid geospatial datasets; (b) lack of knowledge on the transmission of hybrid
data sets through the bandwidth-limited Internet; and (c) very limited
knowledge on the processing of hybrid datasets over the Internet, the objective
of this research aims at the development of Internet-based geoprocessing
approaches to handle hybrid data in an efficient and effective manner under
distributed computing environments.
The focuses of the research will be placed on the following tasks:
1. Investigate the spatial data models under distributed computing environments
to support hybrid data management and access.
2. Develop methods for the efficient use of bandwidth in transmitting large
volumes of hybrid data over the Internet, including vector-based map
generalization and raster-based image compression techniques; Develop Internet
enabled methods for the fusion of hybrid data sets, including image-to-map
matching, map-to-map conflation, and image-to-image fusion.
3. Develop Internet enabled methods for the fusion of hybrid data sets,
including image-to-map matching, map-to-map conflation, and image-to-image
[Summary provided by the Geospatial Information and Communication Technology
ISO Topic Category
Access Constraints Contact the Geospatial Information and Communication Technology Lab for GeoEye
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