Exact reverse backprojection for SAR raw data generation of natural scenes

Dexin Li, Marc Rodriguez-Cassola, Pau Prats-Iraola, Paco Lopez-Dekker, Manqing Wu, Jurgen Detlefsen, Alberto Moreira

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

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.

OriginalspracheEnglisch
Titel2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten3258-3261
Seitenumfang4
ISBN (elektronisch)9781509033324
DOIs
PublikationsstatusVeröffentlicht - 1 Nov. 2016
Veranstaltung36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China
Dauer: 10 Juli 201615 Juli 2016

Publikationsreihe

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Band2016-November

Konferenz

Konferenz36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Land/GebietChina
OrtBeijing
Zeitraum10/07/1615/07/16

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