Name
Abstract | ||
|---|---|---|
To extract buildings from digital elevation models, we define a point process whose points represent buildings. We then define a density for this point process which is split into two parts, consisting in an "internal field" that allows us to model the prior knowledge we have on patterns of buildings in urban areas and an "external field" that makes the point process fit the data. We then use a metropolis Hastings Green sampler coupled with a simulated annealing that gives the configuration of buildings minimizing the energy we have defined. We present results on real data provided by the French Mapping Institute (IGN). |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICASSP.2003.1199477 | ICASSP '03). 2003 IEEE International Conference |
Keywords | Field | DocType |
feature extraction,object detection,French Mapping Institute,aerial images,building detection,building extraction,cartography,digital elevation models,energy minimization,external field,internal field,metropolis Hastings Green sampler,point process,simulated annealing,urban area building patterns | Simulated annealing,Object detection,Pattern recognition,Metropolis–Hastings algorithm,Simulation,Computer science,Point process,Algorithm,Feature extraction,Digital elevation model,External field,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 | 0-7803-7663-3 |
Citations | PageRank | References |
8 | 2.02 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathias Ortner | 1 | 78 | 10.81 |
| Xavier Descombes | 2 | 693 | 79.43 |
| Josiane Zerubia | 3 | 2032 | 232.91 |