ROAD EXTRACTION TECHNIQUES FROM REMOTE SENSING IMAGES: A REVIEW

Application Of High-Resolution Remote Sensing Images In Road Extraction

Road Extraction from High Resolution Remote Sensing Images based on Multi-features and Multi-stages

Road extraction from high resolution remote sensing imagery is very important for many applications such as GIS data updating, transportation management and city planning. In this paper we propose a semi-automatic multi-stage method to extract roads from high resolution remote sensing imagery based on multi-features. The proposed method contains two main steps, i.e. segmenting original image wi...

Research on Road Extraction Semi-automatically from High Resolution Remote Sensing Images

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 great many errors existed. The LSB-Snake model is an effective method to extract linear object semi-automatically, but needs manual input of road character for extraction, and not robust while the ini...

Rural Road Extraction from High-Resolution Remote Sensing Images Based on Geometric Feature Inference

Road information as a type of basic geographic information is very important for services such as city planning and traffic navigation, as such there is an urgent need for updating road information in a timely manner. Scholars have proposed various methods of extracting roads from remote sensing images, but most of them are not applicable to rural roads with diverse materials, large curvature c...

A New Method for Urban Road Extraction based on High Resolution Remote Sensing Images

An efficient method to extract urban road based on the side trees from a high resolution remote sensing image is proposed. First, the high resolution remote sensing image was preprocessed so as to improve the extraction accuracy and reduce the difficulty of later treatment. Second, according to the reflective property of side trees and urban road, it is necessary to detect the side trees region...