relational database extension oriented, self-adaptive imagery pyramid model

Clicks: 232
ID: 153410
2015
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Abstract
With the development of remote sensing technology, especially the improvement of sensor resolution, the amount of image data is increasing. This puts forward higher requirements to manage huge amount of data efficiently and intelligently. And how to access massive remote sensing data with efficiency and smartness becomes an increasingly popular topic. In this paper, against current development status of Spatial Data Management System, we proposed a self-adaptive strategy for image blocking and a method for LoD(level of detail)model construction that adapts, with the combination of database storage, network transmission and the hardware of the client. Confirmed by experiments, this imagery management mechanism can achieve intelligent and efficient storage and access in a variety of different conditions of database, network and client. This study provides a feasible idea and method for efficient image data management, contributing to the efficient access and management for remote sensing image data which are based on database technology under network environment of C/S architecture.
Reference Key
zhenghua2015actarelational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;HU Zhenghua;MENG Lingkui;ZHANG Wen
Journal Phytochemistry
Year 2015
DOI
10.11947/j.AGCS.2015.20140279
URL
http://html.rhhz.net/CHXB/html/2015-6-678.htm
Keywords
cartography network transmissionmathematical geography

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