Business Flow Processing System Applied for GF1 High Resolution Satellite Imagery

doi:10.13474/j.cnki.11-2246.2018.0145

Abstract

Abstract:

Multiple imaging modes such as high time resolution, high space resolution, hyperspectral and high overlaps acquire mass data for surveying and mapping, and also bring new challenges for image processing technology. In this paper, based on the features of the GF1 satellite imagery and the research of high resolution satellite imagery processing algorithm and key technology of automatic processing flow, we proposed a C/S architecture based business flow processing system for the GF1 high resolution satellite imagery. The system supports the heterogeneous computing of GPU and CPU and can customize the business flow accroding to the different demands of the satellite imagery production, the system is able to improve the automation and business flexibility for the high resolution satellite imagery processing. To verify feasibility of the system, we show several experiments about the production of the satellite imagery products. The results show that the proposed business flow system has the capability of massive parallel processing for GF1 satellite images based on the different business demand, and reducing the manual intervention while producing the correcting imagery and thematic imagery.

Key words: GF1, satellite imagery, image processing, business flow, task scheduling, production scheduling, quality checking, GPU/CPU, parallel computing

CLC Number:

P237

SUN Yushan, AI Haibin, HAN Xiaoxia. Business Flow Processing System Applied for GF1 High Resolution Satellite Imagery[J]. 测绘通报, 2018, 0(5): 65-70,135.

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