Results 251 to 260 of about 185,046 (290)

Optimization based classifiers for road extraction

SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002
We investigate the performance of a linear programming-based decision tree in creating gray scale images for road extraction from AVIRIS images. We apply our method for classification of pixels from a digital image of an area near Williamsburg, Virginia, using the distance from discriminant lines as a measure to create a gray scale image.
Venkat Chalasani, Peter A. Beling
openaire   +1 more source

Road Extracting Based on Texture Analysis

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006
In this paper, an automatic method for road network extraction from high resolution aerial image is presented, the recommended input is merely the color image. The modified technique, TPA, and a new way of initial road point extraction are applied. The whole method consists of three modules: 1) the first road detection; 2) statistics and fusing; 3) the
Gu Hui, Lou Jilin, Lu Yaya
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Road extraction for EuroSDR contest

SPIE Proceedings, 2006
This paper presents the participation of the SIC to the EuroSDR contest (European Spatial Data Research; formerly known as OEEPE) about road extraction. After presenting the framework of the EuroSDR contest, our approach for road extraction is described.
C. Beumier, V. Lacroix
openaire   +1 more source

Remote Sensing Road Extraction by Refining Road Topology

2020
Remote sensing road extraction is one of the research hotspots in high-resolution remote sensing images. However, many road extraction methods cannot hold the edge interference, including shadows of sheltered trees and vehicles. In this paper, a novel remote sensing road extraction (RSRE) method based on deep learning is proposed, which considers the ...
Huiqin Gao, Yuan Yuan, Xiangtao Zheng
openaire   +1 more source

Road Information Extraction from High-Resolution Remote Sensing Images Based on Road Reconstruction

Remote Sensing, 2019
Traditional road extraction algorithms, which focus on improving the accuracy of road surfaces, cannot overcome the interference of shelter caused by vegetation, buildings, and shadows.
Tingting Zhou, Haoyang Fu
exaly   +2 more sources

Road and Road Intersection Extraction

2013
Beginning in 1879 the United States Geological Survey (USGS) began surveying land in the United States. Since then they have developed over 55, 000 1​​: 24, 000-scale topographic maps covering the 48 coterminous states in a standard, detailed manner. The result is a wealth of data contained in physical documents.
openaire   +1 more source

Road extraction from SAR images by using a graphical sketch of road

SPIE Proceedings, 2003
The subject of this communication is the detection of roads on SAR images starting from a user-drawn graphical sketch. This sketch is considered as a road model, and the main contribution of this communication is to incorporate this model in a yet-existing blind road detection method to improve the quality and reliability of the detection.
Dalila Cherifi, Florence Tupin, Michel Roux, Henri Maître   +3 more
openaire   +1 more source

Road extraction using smart phones GPS

Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications - COM.Geo '11, 2011
GPS data crowd-sourced through smart phones is an emerging source of inexpensive data that can be used to provide real-time traffic information, identify traffic patterns, and predict traffic congestions. The same type of data can be very useful for cost-effective, fast updating of road network databases due to its rich spatial and temporal coverage ...
Zheng Niu, Songnian Li, Neda Pousaeid
openaire   +1 more source

LiDAR Intensity Calibration for Road Marking Extraction

2018 15th International Conference on Ubiquitous Robots (UR), 2018
The rising demand for precise three-dimensional (3D) maps is a result of the growth of autonomous vehicles into a major focus. These precise 3D maps are often created using Mobile Mapping System (MMS) instruments equipped with various sensors. Among these sensors, Light Detection and Ranging (LiDAR) is the most widely adopted sensor for the generation ...
Jinyong Jeong, Ayoung Kim
openaire   +1 more source

Interactive Road Extraction with Pixel Force Fields

18th International Conference on Pattern Recognition (ICPR'06), 2006
Pixel force field (PFF) is a novel image representation where at each pixel a two-dimensional vector is defined for representing interaction of pixels. The vector is oriented to the center of the region composed of pixels having the same qualitative property, such as color and gray-scale level.
V. Bucha, Seiichi Uchida, Sergey Ablameyko 0001   +2 more
openaire   +1 more source