Exact reverse backprojection for SAR raw data generation of natural scenes

Conference Paper (2016)
Author(s)

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))

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/IGARSS.2016.7729843
More Info
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Publication Year
2016
Language
English
Affiliation
External organisation
Volume number
2016-November
Pages (from-to)
3258-3261
ISBN (electronic)
9781509033324

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.

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