Update of Roads in Gis by Automatic Extraction from Aerial Imagery

نویسندگان

  • C. Steger
  • W. Eckstein
  • C. Wiedemann
چکیده

Extracting roads from aerial imagery is important for the update of Geographic Information Systems (GIS), e.g., to capture new roads or to improve the geometric accuracy of existing roads. It can be broken down into two phases: First, old data is verified to determine which parts of the data have changed. Then, newly built roads are added. In this paper a two-phase approach consisting of automatic verification, as well as automatic road extraction is proposed. In the verification phase roads are searched for in the image along the axes given by the old data. This is done by using the gradient information of the image to localise possible roadsides. For the extraction of new roads a two-resolution approach with successive fusion has been developed. In a reduced version of the image center lines of roads are extracted, while in the original resolution roadsides are detected. The results of the two resolution levels are fused with a number of rules. Results of the proposed approach on aerial images are presented.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Update of Roads in Gis from Aerial Imagery: Verification and Multi-resolution Extraction

Aerial imagery is an important source for the acquisition and update of GIS data. By using digital imagery it is possible to automate some parts of these tasks. In this context this paper proposes a new approach for the automatic update, i.e., verification and extraction, of roads from aerial imagery. The verification process evaluates road axes from GIS data based on the analysis of profiles t...

متن کامل

Towards the Automatic Interpretation of Images for Gis Update

The automatic interpretation of aerial and satellite imagery is one of the main research tasks in photogrammetry and related disciplines. The primary goal is the automatic extraction of visible, spatial, topographic objects from imagery. The extracted objects are one possible input for updating or creating geographic data bases. In order to simplify the task, automatic image interpretation was ...

متن کامل

Automatic Pavement Crack Detection Based on Aerial Imagery

Road health information is an important indicator for assessing the status of the road in management systems. Identifying the abandonment of surfaces is an important process in maintaining roads and traffic safety, which is traditionally conducted on the basis of field surveys. Today, remote sensing methods, especially photogrammetric imaging, are presented. In this article, based on by UAVs im...

متن کامل

Automatic Extraction of Roads from High Resolution Aerial and Satellite Images with Heavy Noise

Aerial and satellite images are information rich. They are also complex to analyze. For GIS systems, many features require fast and reliable extraction of roads and intersections. In this paper, we study efficient and reliable automatic extraction algorithms to address some difficult issues that are commonly seen in high resolution aerial and satellite images, nonetheless not well addressed in ...

متن کامل

Development of an Automatic Land Use Extraction System in Urban Areas using VHR Aerial Imagery and GIS Vector Data

Lack of detailed land use (LU) information and efficient data collection methods have made the modeling of urban systems difficult. This study aims to develop a novel hierarchical rule-based LU extraction framework using geographic vector and remotely sensed (RS) data, in order to extract detailed subzonal LU information, residential LU in this study. The LU extraction system is developed to ex...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996