遥感影像解译样本生产质量控制方法研究

Research on quality control method of remote sensing image interpretation sample

针对第一次全国地理国情普查质量检验过程中发现的遥感影像解译样本数据的质量问题,如遥感影像解译样本缺少典型性、地面照片拍摄不符合技术规程、影像实例数据结构异常等系统性质量问题,以及解译样本采集中存在操作不规范、样本采集主观影响较大等主观性质量问题,该文分析了影响遥感影像解译样本质量的关键生产要素、环节与原因等,提出了全过程的生产质量控制方法,给出了提高遥感影像解译样本过程的质量控制措施。该研究提出的基于全过程质量控制体系新需求,以解决质量问题为导向的生产质量控制方法,可以提升遥感影像解译样本质量,并为今后相关工程项目生产过程的质量控制提供借鉴。

Aiming at the quality problems of remote sensing image interpretation sample data,such as insufficient typical samples,inconsistent shooting of ground photographs and abnormal structure of image examples appeared in the interpretation sample data of remote sensing images,and non-standard operation and unstable quality of sample collection in interpretation sample collection,had been found during the first national geographic condition survey.This paper analyzed the key production factors,processes and causes that affected the process quality of the remote sensing image interpretation sample data,and proposed the concept of the whole process production quality control,and discussed the quality control measures to improve the process quality of the remote sensing image interpretation sample.The research based on the new requirements of the whole process quality control system in order to solve the quality problem-oriented production quality control method,could improve the quality of remote sensing image interpretation samples,and provided reference for the quality control of the production process of related engineering projects in the future.