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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
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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   +4 more
openaire   +1 more source

Cascaded Multi-Task Road Extraction Network for Road Surface, Centerline, and Edge Extraction

IEEE Transactions on Geoscience and Remote Sensing, 2022
Xiaoyan Lu   +6 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   +3 more
openaire   +1 more source

Model-Based Road Extraction from Images

1995
In this paper we present an approach to the automatic extraction of roads from aerial images. We argue that a model for road extraction is needed in every step of the image interpretation process. The model needs to include knowledge about different aspects of roads, like geometry, radiometry, topology, and context.
Carsten Steger   +4 more
openaire   +1 more source

Road network extraction from digital imagery

SPIE Proceedings, 2005
Reliable and accurate methods for road network detection and classification in satellite imagery are essential to many applications. We present an image vectorization approach to the road network extraction from digital imagery that is based on proximity graph analysis.
openaire   +1 more source

Heuristic Road Extraction

2007 International Symposium on Information Technology Convergence (ISITC 2007), 2007
Yun-Woong Choi   +3 more
openaire   +1 more source

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