Machine Vision and Applications
An Active Testing Model for Tracking Roads in Satellite Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Finding of Main Roads in Aerial Images by Using Geometric-Stochastic Models and Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
New Prospects in Line Detection by Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Point Processes for Unsupervised Line Network Extraction in Remote Sensing
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
International Journal of Computer Vision
Higher-Order Active Contour Energies for Gap Closure
Journal of Mathematical Imaging and Vision
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic alignment of large-scale aerial rasters to road-maps
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
On Straight Line Segment Detection
Journal of Mathematical Imaging and Vision
Object Extraction Using a Stochastic Birth-and-Death Dynamics in Continuum
Journal of Mathematical Imaging and Vision
Perfect simulation for marked point processes
Computational Statistics & Data Analysis
Detection of clustered microcalcifications using spatial point process modeling
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Unsupervised line network extraction in remote sensing using a polyline process
Pattern Recognition
Novel classification and segmentation techniques with application to remotely sensed images
Transactions on rough sets VII
Rapid automated detection of roots in minirhizotron images
Machine Vision and Applications
Marked point process for vascular tree extraction on angiogram
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Spatial distribution modeling for detection of clustered microcalcifications
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Archaeological trace extraction by a local directional active contour approach
Pattern Recognition
Modeling and detection of wrinkles in aging human faces using marked point processes
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
| Hi-index | 0.00 |
In this paper we propose a new method for the extraction of roads from remotely sensed images. Under the assumption that roads form a thin network in the image, we approximate such a network by connected line segments.To perform this task, we construct a point process able to simulate and detect thin networks. The segments have to be connected, in order to form a line-network. Aligned segments are favored whereas superposition is penalized. These constraints are enforced by the interaction model (called the Candy model). The specific properties of the road network in the image are described by the data term. This term is based on statistical hypothesis tests.The proposed probabilistic model can be written within a Gibbs point process framework. The estimate for the network is found by minimizing an energy function. In order to avoid local minima, we use a simulated annealing algorithm, based on a Monte Carlo dynamics (RJMCMC) for finite point processes. Results are shown on SPOT, ERS and aerial images.