基于机理的数字影像生产质量控制研究

A Study on the Quality Control in Digital Image Production Based on Mechanism

当前对数字摄影测量中空间数据的误差和不确定性研究的主要方法是基于经典的概率统计理论的。该方法的优点是简单,适用性强。但统计模型一般是描述性的,仅对观测数据作经验性的统计描述或进行相关的分析,而不解答这样结果的原因。鉴于此,本文结合数字测量生产的一般流程和系统控制论,提出了基于误差机理的分析方法,用于评论和指导影像生产中各环节的质量控制,降低误差积累对最终影像加工成果的影响。

Presently, main methods used for studying the error and uncertainty of space data in digital photogrammetry are based on the traditional probability statistics theory; these methods are simple and possess a high applicability, the statistics models are generally descriptive and can only carry out experimental description or relevant analysis without explaining any cause of the results. Relying on a method for error analysis based on the mechanism of error, this paper introduced a new method for estimating the quality control in each step of the process of digital image production; the said method can decrease the influence of error accumulation on the ultimate image processing results.