Implementation of SAR interferometric map generation using parallel processors
Interferometric fringe maps are generated by accurately registering a pair of complex SAR images of the same scene imaged from two very similar geometries, and calculating the phase difference between the two images by averaging over a neighborhood of pixels at each spatial location. The phase difference (fringe) map resulting from this IFSAR operation is then unwrapped and used to calculate the height estimate of the imaged terrain. Although the method used to calculate interferometric fringe maps is well known, it is generally executed in a post-processing mode well after the image pairs have been collected. In that mode of operation, there is little concern about algorithm speed and the method is normally implemented on a single processor machine. This paper describes how the interferometric map generation is implemented on a distributed-memory parallel processing machine. This particular implementation is designed to operate on a 16 node Power-PC platform and to generate interferometric maps in near real-time. The implementation is able to accommodate large translational offsets, along with a slight amount of rotation which may exist between the interferometric pair of images. If the number of pixels in the IFSAR image is large enough, the implementation accomplishes nearly linear speed-up times with the addition of processors.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 658384
- Report Number(s):
- SAND-98-0013C; CONF-980715-; ON: DE98005017; BR: GC0403000; TRN: AHC2DT06%%268
- Resource Relation:
- Conference: IEEE international geoscience and remote sensing symposium, Seattle, WA (United States), 6-10 Jul 1998; Other Information: PBD: Jul 1998
- Country of Publication:
- United States
- Language:
- English
Similar Records
Spotlight SAR interferometry for terrain elevation mapping and interferometric change detection
Interferometric synthetic aperture radar terrain elevation mapping from multiple observations