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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...
An efficient statistical algorithm of automatic extracting road from SAR images is devised in this paper. First, an feature detecting operator is used to find the road candidate. Then another smaller ...
In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in C...
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 f...
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of ro...
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...
Extracting the targets information from the remote sensing image has become the important method of updating the spatial geography information. With the development of spatial technology, sensor techn...
It is still an open problem to extract road feature from high-resolution remote sensing image, although this topic had been intensively investigated and many methods had been put forwards. All works f...
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...

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