Object-based change detection for individual buildings in SAR images captured with different incidence angles
- Resource Type
- Conference
- Authors
- Tao, Junyi; Auer, Stefan; Reinartz, Peter; Bamler, Richard
- Source
- 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International. :1238-1241 Jul, 2013
- Subject
- Fields, Waves and Electromagnetics
Buildings
Synthetic aperture radar
Geometry
Laser radar
Feature extraction
Image resolution
Predictive models
SAR simulation
wall extraction
change detection
LiDAR
TerraSAR-X
- Language
- ISSN
- 2153-6996
2153-7003
Change detection of two SAR images captured with different incidence angles is a difficult task but may be important in urgent situations like earthquakes. This paper presents a simulation based algorithm to detect negative changes of buildings in two high resolution SAR images captured with different incidence angles. The analysis is supported by LiDAR data where individual wall models are extracted and are simulated to predict their shape in the SAR images. Afterwards, point signatures within the layover areas are extracted, converted to the same geometry, and are compared with a buffer change detection algorithm. The proposed method is tested for several buildings (in Munich city center) imaged in TerraSAR-X spotlight mode.