Integration and management of multi-resource remote sensing image of mine based on meta database

2010 International Conference On Computer Design and Applications Pub Date : 2010-06-25 DOI:10.1109/ICCDA.2010.5541387

M. Ji, Pan-pan Zhang, Ruifu Wang, Aichao Liu, Xin Wang, Xiaowen Zhao

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引用次数: 2

Abstract

As mines of China are scattered, centralized management of remote sensing in mines and realizing efficient retrieval combined with GIS spatial data management advantages is the study and realized main aims. Based on analyzing different management forms and application requirements of multi-source remote sensing images, according to multi-source remote sensing images needed in exploration, development and environmental treatment of mining area, management mechanism of multi-source remote sensing images was structured which take meta database and ArcSDE RasterCatalog as the core by designing different image header file parsers. Further, in the prototype system designed and developed based on ArcEngine9.3, mages of different types were processed separately and imported. On the supported of Meta database, this system realized quick preview and positioning of images. Thus, high efficiency integrated management platform of massive multi-source, multi-scale, multi-resolution, multi-temporal, and multi-band images were provided for mining area.

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基于元数据库的矿山多资源遥感影像集成与管理

由于中国矿山分布分散，结合GIS空间数据管理优势，对矿山遥感进行集中管理，实现高效检索是研究和实现的主要目标。在分析多源遥感图像不同管理形式和应用需求的基础上，根据矿区勘探开发和环境治理中需要的多源遥感图像，通过设计不同的图像头文件解析器，构建了以元数据库和ArcSDE RasterCatalog为核心的多源遥感图像管理机制。在基于ArcEngine9.3设计开发的原型系统中，对不同类型的图像分别进行处理和导入。在Meta数据库的支持下，实现了图像的快速预览和定位。为矿区提供了海量多源、多尺度、多分辨率、多时间、多波段图像的高效集成管理平台。

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2010 International Conference On Computer Design and Applications

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