Abstract
In this work we present a new concept towards building reconstruction based on multi-aspect SAR (MASAR) data where we make use of the inherent redundancy and contradiction of MASAR data. Instead of treating every aspect seperately we perform a joint optimization on all available data. For this purpose we use Probabilistic Graphical Model (PGM) as a declarative representation to encode our knowledge and to reconstruct the most likely objects in the scene.
| Original language | English |
|---|---|
| Pages | 7405-7408 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2012 |
| Event | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012 |
Conference
| Conference | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 22/07/12 → 27/07/12 |
Keywords
- Building Reconstruction
- Conditional Random Field
- Interferometry
- Multi-Aspect
- Probabilistic Graphical Model
- Radargrammetry
- SAR
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