A Research of High-Performance Geometric Precision Correction Based on Reference Image Database

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Abstract:

Geometric precision correction of remote sensing image plays a more and more important role in the application of high precision remote sensing. A reference image database is built up based on PostgreSQL, an open-source relation database, and ArcSDE, a widely used spatial data engine. Compared with single reference image, the reference image database has the advantages of managing convenience, lower-cost maintenance and high retrieval efficiency. Meanwhile, the correction accuracy is boasted by Gopfert algorithm , and efficiency is improved by advanced parallel model based on parallel I/O and I/O hidden strategy. Beyond this, combined with MapServer which can rapidly display images, a geometric precision correction system of high performance with dual servers is formed, with which mass production ability is achieved.

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