Results 161 to 170 of about 2,732,569 (203)

Road Network Extraction in Suburban Areas

The Photogrammetric Record, 2012
AbstractIn this paper, an algorithm for the extraction of road networks in suburban areas is presented. The algorithm is region‐based and uses high‐resolution colour infrared images as well as, optionally, a digital surface model (DSM). The road extraction starts with a segmentation using the normalised cuts algorithm; afterwards the segments are ...
Anne Grote, Christian Heipke, Franz Rottensteiner   +2 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

Extracting linear road from TM image

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004
To study the automatic extracting system of linear road in TM images. Firstly, the features of TM images were analyzed, an image segmentation algorithm based on multi-spectra was presented. Secondly, some texture features of road area in TM image were analyzed, rapidly fuzzy classification approach was adopted, a dilation algorithm and realizes ...
null Binghan Liu, null Weizhi Wang, null Minchen Zhu   +2 more
openaire   +1 more source

An Optimal Road Seed Extraction Algorithm

2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, 2008
The proper extraction of road seeds is the premier step of road network extraction from high resolution remote sensing images. An optimal road seed extraction algorithm is proposed. Firstly, Canny-Deriche edge detection and spatial FCM (fuzzy c means) region extraction are performed separately to detect the details.Secondly, an averaged Hausdorff ...
Yang Hu, Kacem Chehdi, Guangyao Li, Keju Zu   +3 more
openaire   +1 more source

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.
V. Chalasani, P.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
openaire   +1 more source

Automatic Road Extraction from Aerial Images

Digital Signal Processing, 1998
The paper presents a knowledge-based method for automatic road extraction from aerial photography and high-resolution remotely sensed images. The method is based on Marr's theory of vision, which consists of low-level image processing for edge detection and linking, mid-level processing for the formation of road structure, and high-level processing for
John C. Trinder, Yandong Wang
openaire   +1 more source

Road Map Extraction using GMTI Tracking

2006 9th International Conference on Information Fusion, 2006
For analyzing dynamic scenarios with many ground moving vehicles, airborne Ground Moving Target Indicator (GMTI) radar is well-suited due to its wide-area, all-weather, day/night, and real time capabilities. The generation of GMTI tracks from these data is the backbone for producing a "recognized ground picture" as well as for analyzing traffic flows ...
M. Ulmke, W. Koch
openaire   +1 more source

Convolutional neural network for road extraction

LIDAR Imaging Detection and Target Recognition 2017, 2017
In this paper, the convolution neural network with large block input and small block output was used to extract road. To reflect the complex road characteristics in the study area, a deep convolution neural network VGG19 was conducted for road extraction.
Weihong Cui, Fajie Feng, Yazhou Ding, Junping Li, Baoyu Xiong   +4 more
openaire   +1 more source

Evaluation of Road Marking Feature Extraction

2008 11th International IEEE Conference on Intelligent Transportation Systems, 2008
This paper proposes a systematic approach to evaluate algorithms for extracting road marking features from images. This specific topic is seldom addressed in the literature while many road marking detection algorithms have been proposed. Most of them can be decomposed into three steps: extracting road marking features, estimating a geometrical marking ...
Thomas Veit, Jean-Philippe Tarel, Philippe Nicolle, Pierre Charbonnier   +3 more
openaire   +1 more source