건축도면을 활용한 지적도상의 건축물 등록 자동화 기술 개발

건축도면을 활용해 지적도상 건축물 등록을 자동화하는 기술을 개발했다.

It is difficult to identify the position of buildings by using a cadastral map, because there remains unmarked positions of building. In addition to the waste of time and the inconvenience of land surveying, conflicts and suits caused by invasion of boundary building are happening. On the other hand, it is prescribed not only to register the position of buildings and facilities under cadastral codes, but also to allow registration by land surveying. practically speaking the position of buildings and facilities is only presented as an outcome of the cadastral surveying. There is no control over the registration.

Also, registering the position of buildings and facilities under a cadastral code causes a severe waste of time and money. Former research on the registration and extraction of building boundaries carried out by using a digital base map and orthophoto, LiDAR. However, the top line, not the line of an outer wall, is extracted because of the different codes, compared with the boundary standards of cadastral surveying in principle. Besides, automatic technology for building registration on the cadastral maps has not been studied.

This study had to the development of automatic technology of registration through the architectural drawing, in order to register the line of an outer wall, which is the standard in cadastral surveying. The accuracy of automatic technology in registration developed by ESRI ArcGIS engines is analyzed via two methods. Firstly, RMSE is indicated as 0.20m and 0.25m in the area of digital cadastral surveying under building layers through overlaying the digital base map with the cadastral maps. Secondly, RMSE is indicated as 0.10m in the area of digital cadastral surveying and 0.16m in the area of graphical cadastral surveying under parcel boundaries on cadastral map and parcel boundaries.

Consequently, it is possible for the automatic technology of building Registration on the cadastral maps using architectural drawings to make up for the time and cost of registering in cadastral non-coincidence, and make a foundation of 3D-cadastre.