Point Processes for Unsupervised Line Network Extraction in Remote Sensing
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive simulated annealing for energy minimization problem in a marked point process application
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Detection of soldering defects in Printed Circuit Boards with Hierarchical Marked Point Processes
Pattern Recognition Letters
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This communication addresses the problem of estimating the parameters of a family of marked point processes. These processes are of interest in extraction of object networks from remote sensing images. They are defined from a combination of several energy terms. First, a data energy term controls the localization of the objects with respect to the data. Second, prior information is given by intern energy terms corresponding to geometrical constraints on the configuration to be detected. An estimation procedure of the weight associated with these energies is studied. The application to unsupervised detection of objects is finally discussed.