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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (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.

Original languageEnglish
Title of host publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3258-3261
Number of pages4
Volume2016-November
ISBN (Electronic)9781509033324
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes
Event36th IEEE International Geoscience and Remote Sensing Symposium - Beijing, China
Duration: 10 Jul 201615 Jul 2016
Conference number: 36

Conference

Conference36th IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2016
CountryChina
CityBeijing
Period10/07/1615/07/16

Keywords

  • backprojection
  • geosynchronous SAR
  • raw data simulation
  • Synthetic Aperture Radar (SAR)

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