Journal of Atmospheric and Environmental Optics, Volume. 14, Issue 5, 359(2019)
Building of Airship Low Altitude Remote Sensing Data Management System
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.
Get Citation
Copy Citation Text
DU Lili, YIWeining, ZHANG Dongying, FANG Wei, SONG Bo. Building of Airship Low Altitude Remote Sensing Data Management System[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(5): 359
Category:
Received: Sep. 18, 2018
Accepted: --
Published Online: Oct. 14, 2019
The Author Email: Lili DU (lilydu@aiofm.ac.cn)