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

doi:10.1109/IGARSS.2016.7729843

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

Associate Professorship of High Frequency Fields and Circuits (2008 — 2018)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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 language	English
Title of host publication	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3258-3261
Number of pages	4
ISBN (Electronic)	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7729843
State	Published - 1 Nov 2016
Event	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2016-November

Conference

Conference	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Country/Territory	China
City	Beijing
Period	10/07/16 → 15/07/16

Keywords

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

Access to Document

10.1109/IGARSS.2016.7729843

Cite this

Li, D., Rodriguez-Cassola, M., Prats-Iraola, P., Lopez-Dekker, P., Wu, M., Detlefsen, J., & Moreira, A. (2016). Exact reverse backprojection for SAR raw data generation of natural scenes. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (pp. 3258-3261). Article 7729843 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2016.7729843

Li, Dexin ; Rodriguez-Cassola, Marc ; Prats-Iraola, Pau et al. / Exact reverse backprojection for SAR raw data generation of natural scenes. 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 3258-3261 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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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.",

keywords = "Synthetic Aperture Radar (SAR), backprojection, geosynchronous SAR, raw data simulation",

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

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Li, D, Rodriguez-Cassola, M, Prats-Iraola, P, Lopez-Dekker, P, Wu, M, Detlefsen, J & Moreira, A 2016, Exact reverse backprojection for SAR raw data generation of natural scenes. in 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings., 7729843, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2016-November, Institute of Electrical and Electronics Engineers Inc., pp. 3258-3261, 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7729843

Exact reverse backprojection for SAR raw data generation of natural scenes. / Li, Dexin; Rodriguez-Cassola, Marc; Prats-Iraola, Pau et al.
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3258-3261 7729843 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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Li D, Rodriguez-Cassola M, Prats-Iraola P, Lopez-Dekker P, Wu M, Detlefsen J et al. Exact reverse backprojection for SAR raw data generation of natural scenes. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3258-3261. 7729843. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2016.7729843

Exact reverse backprojection for SAR raw data generation of natural scenes

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