International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 565–568, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-565-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 565–568, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-565-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  07 Feb 2020

07 Feb 2020

RESEARCH ON MULTI-SOURCE SATELLITE IMAGE DATABASE MANAGEMENT SYSTEM

N. Fu1, L. Sun2, H. Z. Yang3, J. Ma1, and B. Q. Liao1 N. Fu et al.
  • 1State Grid Shenwang Lbs (Beijing) Co.Ltd, Beijing, China
  • 2Beijing HeadSpring Technology Co.Ltd, Beijing, China
  • 3State Grid Zhejiang Electric Power Co.Ltd, Hangzhou, China

Keywords: Multi-satellite image, Normalized processing, Relational Database, Electric Feature points

Abstract. For the exploration and analysis of electricity, it is necessary to continuously acquire multi-star source, multi-temporal, multi-level remote sensing images for analysis and interpretation. Since the overall data has a variety of features, a data structure for multi-sensor data storage is proposed. On the basis of solving key technologies such as real-time image processing and analysis and remote sensing image normalization processing, the .xml file and remote sensing data geographic information file are used to realize effective organization between remote sensing data and remote sensing data. Based on GDAL design relational database, the formation of a relatively complete management system of data management, shared publishing and application services will maximize the potential value of remote sensing images in electricity remote sensing.