Semi-automated road detection from high resolution satellite images by directional morphological enhancement and segmentation techniques
D Chaudhuri, NK Kushwaha… - IEEE journal of selected …, 2012 - ieeexplore.ieee.org
Extraction of map objects such roads, rivers and buildings from high resolution satellite
imagery is an important task in many civilian and military applications. We present a semi …
imagery is an important task in many civilian and military applications. We present a semi …
Automated identification and extraction of horizontal curve information from geographic information system roadway maps
Roadway horizontal alignment has long been recognized as one of the most significant
contributing factors to lane departure crashes. Knowledge of the location and geometric …
contributing factors to lane departure crashes. Knowledge of the location and geometric …
Road extraction using k-means clustering and morphological operations
R Maurya, PR Gupta, AS Shukla - … International Conference on …, 2011 - ieeexplore.ieee.org
In this paper we proposed the method for road extraction. The road extraction involves the
two main steps: the detection of road that might have the other non road parts like buildings …
two main steps: the detection of road that might have the other non road parts like buildings …
Automated road network extraction using artificial neural network
A Kirthika, A Mookambiga - 2011 International Conference on …, 2011 - ieeexplore.ieee.org
Road detection from satellite images can be considered as a classification process in which
pixels are divided into road and background classes and can be used as a criterion in road …
pixels are divided into road and background classes and can be used as a criterion in road …
Automatic road centerline extraction from imagery using road GPS data
C Cao, Y Sun - Remote sensing, 2014 - mdpi.com
Road centerline extraction from imagery constitutes a key element in numerous geospatial
applications, which has been addressed through a variety of approaches. However, most of …
applications, which has been addressed through a variety of approaches. However, most of …
Urban road extraction via graph cuts based probability propagation
In this paper, we propose a graph cuts (GC) based probability propagation approach to
automatically extract road network from complex remote sensing images. First, the support …
automatically extract road network from complex remote sensing images. First, the support …
Automated extraction of horizontal curve information for low-volume roads
Rates of fatal and injury crashes on low-volume roads are much higher than those on higher-
volume roads. A large proportion of crashes on low-volume roads are roadway departure …
volume roads. A large proportion of crashes on low-volume roads are roadway departure …
Knowledge-based detection and assessment of damaged roads using post-disaster high-resolution remote sensing image
Road damage detection and assessment from high-resolution remote sensing image is
critical for natural disaster investigation and disaster relief. In a disaster context, the pairing …
critical for natural disaster investigation and disaster relief. In a disaster context, the pairing …
Estimating roadway horizontal alignment from geographic information systems data: An artificial neural network–based approach
Estimating horizontal alignment using discretized roadway data points, such as GIS maps, is
complicated because the number of curved and tangent segments and their start and end …
complicated because the number of curved and tangent segments and their start and end …
基于矩形模板匹配的线状地物半自动提取方法研究
孙晨阳， 周廷刚， 陈圣波， 沈敬伟… - 西南大学学报(自然科学 …, 2015 - xbgjxt.swu.edu.cn
通过对高分辨率遥感影像线状地物特征分析, 提出了一种基于矩形模板匹配的高分辨率遥感影像
线状地物提取方法. 该方法由用户选取矩形种子区域, 自动定义匹配区域, 进行种子区域与匹配 …
线状地物提取方法. 该方法由用户选取矩形种子区域, 自动定义匹配区域, 进行种子区域与匹配 …