Plug-in style results data quality checking system for mine remote sensing monitoring based on AE

doi:10.6046/gtzyyg.2017.04.33

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Abstract Based on an analysis of current mine remote sensing monitoring results data storage quality checking work flow, the authors have designed a results data quality checking system and implemented it for mine remote sensing monitoring, which realizes three major functions, i.e., data updating, data checking and rule customization. The plug-in GIS framework technology is used to realize the design, development, integration and test of the custom function plug-in, thus solving the problem of high coupling between the system and the functional module and greatly improving the system scalability. By using XML model-driven architecture technology, the quality inspection rule model is designed and integrated into the quality inspection system, which solves the problems of system upgrade and change of function requirements resulting from the change of quality inspection rules. Practical application shows that the system provides efficient software support for quality inspection of the storage, hence improving the efficiency of the work quality inspection and reducing the work intensity as well as the workload of the staff.

Keywords landslide disaster GF-1 interpretation key interpretation of remote sensing

TP319

Issue Date: 04 December 2017

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	ZHANG Ce
	JIE Wenhui
	FU Lihua
	WEI Benzan

Cite this article:

ZHANG Ce,JIE Wenhui,FU Lihua, et al. Plug-in style results data quality checking system for mine remote sensing monitoring based on AE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 219-224.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.04.33 OR https://www.gtzyyg.com/EN/Y2017/V29/I4/219

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