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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 important iss...
The road extraction in urban areas is difficult task due to the complicated patterns and many contextual objects. LiDAR data directly provides three dimensional (3D) points with less occlusions and sm...
Due to the increasing number of digital remote sensing data taken by aeroplane and satellite which are used for the updating of maps and the environmental or agricultural monitoring, there is a need t...
Using data fusion of multi-spectral and microwave radar images, a semiautomatic method is developed based on the level set method for application to urban road extraction. The fast marching method of ...
For the significance of road information to the city management, urban roads are subjects of great concern to be extracted from remotely sensed images. With the availability of high spatial resolution...
In recent years, the rapid increase in the demand for road information together with the availability of large volumes of high resolution Earth Observation (EO) images, have drawn remarkable interest ...
Considering the problem of automatic traffic signs recognition in natural scene image (mainly including three kinds of traffic signs: yellow warning signs, red prohibition signs and blue mandatory sig...
Nowadays, there have substantive research on road extraction automatically form RS images, restricted by low understanding level of images, the automatically extracting method is not robust, and a gre...
Many researchers conducted efforts for improving the accuracy of road extraction from satellite images. Many studies have used optical spectrum information of each pixel for road extraction. By applyi...
Roads are important objects for many applications of topographic data. They are often acquired manually and as this entails significant effort, automation is highly desirable. Deficits in the automati...
This article proposes a novel road extraction methodology from digital images. The innovation is based on the dynamic programming (DP) algorithm to carry out the optimisation process in the object spa...
In this paper, we describe an extension of an automatic road extraction procedure developed for single SAR images towards multiaspect SAR images. Extracted information from multi-aspect SAR images is ...
This article proposes a novel road extraction methodology from digital images. The innovation is based on the dynamic programming (DP) algorithm to carry out the optimisation process in the object spa...
Roads are important objects for many applications of topographic data. They are often acquired manually and as this entails significant effort, automation is highly desirable. Deficits in the automati...
In this paper we propose an approach for automatic road extraction from high resolution multispectral imagery, such as IKONOS or Quickbird, in rural areas. While aerial imagery usually consists of 3 s...

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