Exact reverse backprojection for SAR raw data generation of natural scenes
Dexin Li (Technische Universität München)
Marc Rodriguez Cassola (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
Pau Prats-Iraola (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
Paco Dekker (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
Manqing Wu (National University of Defense Technology)
Jurgen Detlefsen (Technische Universität München)
A Moreira (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
More Info
expand_more
Abstract
This paper puts forward a reverse backprojection algorithm for the moderately efficient generation of raw data of natural scenes acquired with general SAR geometries; in particular, we are interested in monostatic and bistatic geosynchronous (GSO) geometries. The backprojection algorithm has the advantage of being arbitrarily precise for all acquisition modes and systems, and allows an exact accommodation of space-variant effects introduced by topography and the propagation through the atmosphere. Its exactness allows both to simulate any real scenarios and understand further optimization potentials. The reverse backprojection algorithm is presented and analyzed in the following pages. The algorithm is also validated using both simulated clutter and data from the Sentinel-1 mission.
No files available
Metadata only record. There are no files for this record.