Journal of Atmospheric and Environmental Optics

Previous Articles     Next Articles

Building of  Airship Low Altitude Remote Sensing Data Management System

  

  • Online:2019-09-28 Published:2019-09-26

Abstract: Space image simulation needs a complete description and effective management of the
 information acquired from the unmanned airship low-altitude remote sensing measurement
 system. So a database system is built, which integrates hyperspectral image,
high resolution image, infrared image, spectrum data, atmosphere data, environment data
and GPS information. According to the data characteristics of the measurement system,
a mobile storage model is proposed. By utilizing the superiority of binary large
object (BLOB)  supported by Oracle and the data partitioning technology, the model
can realize the integrated management and mobile storage of the multi-source image
information. The database system is developed by using Visual C++ as foreground
development tool, Oracle objects for OLE (OO4O) as accessing interface and Oracle
as the background database management system. Base on the adopted techniques,
this system not only realizes complete description and effective organization
of the data of the measurement system, but also provides a systematized and
specialized information platform for space image simulation and quantitative
application of multi-source remote sensing data.

Key words: low altitude remote sensing, database, hyperspectral image, partitioning transfer, Oracle objects for OLE

CLC Number: