In this research, a method is proposed to create and/or update road maps in urban/suburban
area using high-resolution satellite images.“Road mask” is defined in this research as a …

The importance of analysis high resolution satellite imagery plays an important research
topic for geographical information analysis of cities. Geospatial data plays an important role …

In recent years, many approaches have been exploited for automatic road extraction. Most of
these approaches are based on edge detection algorithms. In this paper, a new object …

In remote sensing analysis, automatic extraction of road network from satellite or aerial
images can be a most needed approach for efficient road database creation, refinement …

In recent years, many approaches have been exploited for automatic urban road extraction.
Most of these approaches are based on edge and line detecting algorithms. In this paper, a …

The uses of road map in daily activities are numerous but it is a hassle to construct and
update a road map whenever there are changes. In Universiti Malaysia Sarawak, research …

In this letter, we propose a novel automatic algorithm for road extraction from remote sensing
images. The algorithm includes low-and high-level processing. In the low-level processing …

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 …

The importance of road extraction from satellite images arises from the fact that it greatly
enhances the efficiency of map generation and thus can be a big help in car navigations …

This paper focuses on automatic road extraction in urban areas from high resolution satellite
images. We propose a new approach based on machine learning. First, many features …