Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identification of Roads in Satellite Imagery Using Artificial Neural Networks: A Contextual Approach
Identification of Roads in Satellite Imagery Using Artificial Neural Networks: A Contextual Approach
An algorithm for automatic detection of runways in aerial images
Machine Graphics & Vision International Journal
Generating Logic Descriptions for the Automated Interpretation of Topographic Maps
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Guest Editorial: Computational Vision at Brown
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
State of the art on automatic road extraction for GIS update: a novel classification
Pattern Recognition Letters
A Gibbs Point Process for Road Extraction from Remotely Sensed Images
International Journal of Computer Vision
Point Processes for Unsupervised Line Network Extraction in Remote Sensing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Paths Extraction in Images Using a Constrained Expanded Trellis
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Context-aware mobile service for routing the fastest subway path
Expert Systems with Applications: An International Journal
Advances in Engineering Software
International Journal of Remote Sensing
Detection of Linear Structures in Remote-Sensed Images
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Automated geospatial conflation of vector road maps to high resolution imagery
IEEE Transactions on Image Processing
Automatic road extraction from satellite imagery using LEGION networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Unsupervised line network extraction in remote sensing using a polyline process
Pattern Recognition
Modeling a student-classroom interaction in a tutorial-like system using learning automata
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stochastic point location in non-stationary environments and its applications
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
A method of linear feature extraction from high resolution aerial images
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Modeling a domain in a tutorial-like system using learning automata
Acta Cybernetica
Extraction of road network from high resolution satellite images using ANN
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Extraction of main urban roads from high resolution satellite images by machine learning
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Modeling a teacher in a tutorial-like system using learning automata
Transactions on Computational Collective Intelligence VIII
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This paper presents an automated approach to finding main roads in aerial images. The approach is to build geometric-probabilistic models for road image generation. We use Gibbs Distributions. Then, given an image, roads are found by map (maximum a posteriori probability) estimation. The map estimation is handled by partitioning an image into windows, realizing the estimation in each window through the use of dynamic programming, and then, starting with the windows containing high confidence estimates, using dynamic programming again to obtain optimal global estimates of the roads present. The approach is model-based from the outset and is completely different than those appearing in the published literature. It produces two boundaries for each road, or four boundaries when a mid-road barrier is present.