Design and implementation of GIS data server development for 3D simulation in SAR operation

Wicaksono, Dimas; Prihatmanto, Ary Setijadi; Mardiono, Tunggal

doi:10.1109/icsengt.2012.6339350

Cited by 1 publication

(1 citation statement)

References 2 publications

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“…It is especially suitable for the centralized and unified management of mass and heterogeneous data, which coincides with the management objective of remote sensing data. The objects described by the remote sensing data have spatial distribution characteristics, which express the spatial relationship between objects [13]. The use of its spatial characteristics in the management of remote sensing data can significantly improve the efficiency of query and spatial analysis.…”

Section: 1meta-database System Based On Spatial Relationshipmentioning

confidence: 99%

Study on the Organization and Storage of Remote Sensing Data Oriented to Visualization Management

Yu¹,

Zhang³

2018

Proceedings of Information Science and Cloud Computing — PoS(ISCC 2017)

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Aiming at the management problems of growing multi-source and heterogeneous remote sensing data, this paper studies and realizes the organization and storage method of mass remote sensing data on the basis of analysing the data characteristics. The metadata storage technology is used to realize the unified storage and fast retrieval of mass and multi-resolution remote sensing data information. Through the pre-calculation of the spatial attributes of remote sensing data, the management convenience can be improved. The multi-resolution pyramid model and its storage technology are used to improve the efficiency of remote sensing data reading and visual display, and optimize the operability and visual experience of data management. Finally, the method is applied to the remote sensing data visualization management system based on three-dimensional virtual globe, which to realize the efficient management of multi-load and multi-spectrum remote sensing data as taken by Tiangong-1 aircraft and Tiangong-2 aircraft, and thus satisfy the actual task requirements of the users.

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Section: 1meta-database System Based On Spatial Relationshipmentioning

confidence: 99%