Research On Design Of Surveying Process For MMS And Data Quality Evaluation Of DMI

Recent years, quality control of spatial data has becoming a research issue of GIS theory research. At present, the most common product of spatial data is"4D",and each of them have had its own data quality model. With the rapid development and broad application of MMS ,more and more people know about DMI(Digital Measurable Images),which is gone by the name of"5D"。And now it was accepted and used broadly by people in many fields of life, for its completely new organization form and some advantages, like measurable, visuable, data mining and time dimensionality. However, at the same time, some problem show up, sometimes the MMS was used inefficient or the quality of the data is disqualification. Because the MMS is just a new technology, and yet no one has researched on the date quality control of DMI .So it is urgency for the data offers and users, and also for the date sharing project, to build an appropriate date quality control and estimate system for DMI, which could describe and estimate the new data organization form accurately.In this dissertation, because of the problem of MMS data in nation, an optimized design of data gathering flow for LD2000-RM which is the most common product of MMS in our country, is established for national using. It is a guarantee for the quality of DMI from the viewpoint of data quality control. In addition,a integrated data estimate system for DMI is built, which is based on the characteristic of DMI and the status in quo of spatial data quality estimate. The main research result is shown as the following:1.First of all, this paper systematical analyses the circumstance of the data collecting, data type, structure, data management style, and constant data error forms, reasons of data errors ,and even the available control method. Then according to above, an optimized flow for MMS data collecting is built which has been proved in using to be effective to improve the efficiency of the MMS, on the other hand it is also a effective way to control the quality of DMI.2.Then from the horizontal viewpoint of the data collecting flow of MMS, the elements referenced are analyzed, such as contract, project management, data quality control system, stuff arrangement, and also the equipment required. Their influence to the data quality and the control method are discussed. Then a horizontal data control system for actual application of MMS is advanced, which could be a very useful mode in coming project with MMS about the data quality control.3.The data assessment indicators are given according to the characteristic of the data style of DMI and the reference GIS standards, which includes location accuracy, image accuracy, time accuracy and metadata accuracy as the data quality element. Under these elements, each of them combines with precision, conformance, and integrity to form a data estimate indicator system. And then according to the experience and the advices from the experts, we give each indicator a corresponding weight to show how important it is for data quality of DMI, thus the data quality model is built.4.According to the research on current method of spatial data quality estimate, the way to estimate DMI is fixed up, which is called defection subtraction score based weighted average. Then in order to illuminate the relationship of the quality element and the disfigurement and its weight, the data quality error assessment standard and the estimate formula are established. At last with the addition of data quality model of DMI we have built before, the final data quality estimate system for DMI is established, which is proved to be useful in the experiment with the real DMI data we got before.