Road Extraction for the Update of Road Databases in Suburban Areas

نویسندگان

  • A. Grote
  • C. Heipke
چکیده

This paper deals with road extraction in suburban areas from high resolution aerial images. The extraction results are intended to be used for updating a road database. The road extraction algorithm follows a region-based approach in which the image is first segmented using the normalized cuts algorithm with colour and edge criteria. Then, the initial segments are grouped to larger segments in order to overcome the oversegmentation which is a result of the first step. The segments are subsequently evaluated by shape criteria in order to extract road parts. Large segments that contain several roads are shaped irregularly; therefore, large segments are split prior to the road part extraction. The splitting is based on the skeleton of the segment. After the road part extraction, most roads in the image are covered by one extracted road part. However, some roads are covered by several road parts with gaps between them. In order to combine these road parts to one road, neighbouring road parts are connected if they have a similar main direction and a relatively high continuation smoothness. Results for some test images show that the approach is suitable for the extraction of roads in suburban images. * Corresponding author.

برای دانلود رایگان 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

Assessing the Impact of Digital Surface Models on Road Extraction in Suburban Areas by Region-based Road Subgraph Extraction

In this paper, a road extraction approach for suburban areas from high resolution CIR images is presented. The approach is regionbased: the image is first segmented using the normalized cuts algorithm, then the initial segments are grouped to form larger segments, and road parts are extracted from these segments. Roads in the image are often covered by several extracted road parts with gaps bet...

متن کامل

Automated Update of Road Databases Using Aerial Imagery and Road Construction Data

The update of geodata is an important task in order to ensure a high level of data quality in Geographic Information Systems (GIS). Today, this work is carried out mostly manually by an operator, who compares possibly outdated vector data from databases with remotely sensed imagery and/or other current information. In this paper we present a system for automated update of road databases using d...

متن کامل

Road Extraction in Suburban Areas Based on Normalized Cuts

This paper deals with road extraction of high resolution aerial images of suburban scenes based on segmentation using the Normalized Cuts algorithm. The aim of our project is the extraction of roads for the assessment of a road database, however, this paper is restricted to road extraction. The segmentation as our basic step is designed to yield a good division between road areas and the surrou...

متن کامل

Reducing Light Change Effects in Automatic Road Detection

Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

متن کامل

Extraction of Road Junction Islands from High Resolution Aerial Imagery Using Level Sets

Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this paper, we consider road junctions as area objects with possible existence of islands in their central area and propose a level set approach for the automatic extraction of islands. A region-based method is employed to initialize the level s...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008