Articles | Volume 2
https://doi.org/10.5194/ica-proc-2-117-2019
https://doi.org/10.5194/ica-proc-2-117-2019
10 Jul 2019
 | 10 Jul 2019

Key Technology Research on Quality Inspection and Evaluation of Orthoimage Used in China's National Land Survey

Yaoling Shang, Yousong Zhao, Wei Ma, Xuan Wu, Jindong Wang, Fujun Luo, Qingqing Yan, and Yongmin Xu

Keywords: National Land Survey, Digital Orthoimage Map, Quality Inspection

Abstract. The third national land survey is based on orthoimages with the results of the second national land survey to investigate the land classification, area and ownership of the national land in order to comprehensively understand the status of land use and land resources changes, and to improve the level of delicacy management for national nature resources. Therefore, an important task to ensure the completion of the third national land survey is to the develop a set of technical methods applicable to the quality inspection on orthoimage of the third national land survey.

In view of the inapplicability of the existing inspection standards and technical methods of traditional basic surveying and mapping results on the orthoimage quality inspection of the third national land survey, The paper analyzes the orthoimage production characteristics and quality need of the third national land survey, improves the inspection quality elements, sampling strategy, inspection methods, evaluation methods and quality problem handling based on the existing inspection standards and technical methods by pilot, and puts forward the corresponding inspection standards and technical methods to promote the quality inspection of orthoimage on the third national land survey.

Compared with the traditional method, the application of this method in 2865 inspection of county-level’s orthoimage of the third national land survey which covers the whole china, shows that, its inspection index is more reasonable, the inspection process is more scientific, the inspection efficiency is more efficient, and the direct cost of inspection is saved by 31%.

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