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

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-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 language	English
Title of host publication	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3258-3261
Number of pages	4
Volume	2016-November
ISBN (Electronic)	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7729843
Publication status	Published - 1 Nov 2016
Externally published	Yes
Event	36th IEEE International Geoscience and Remote Sensing Symposium - Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016 Conference number: 36

Conference

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

Keywords

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

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 (Vol. 2016-November, pp. 3258-3261). Article 7729843 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2016.7729843

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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. vol. 2016-November, 7729843, Institute of Electrical and Electronics Engineers (IEEE), pp. 3258-3261, 36th IEEE International Geoscience and Remote Sensing Symposium, 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. Vol. 2016-November Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 3258-3261 7729843.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Detlefsen, Jurgen

AU - Moreira, Alberto

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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. Vol. 2016-November. Institute of Electrical and Electronics Engineers (IEEE). 2016. p. 3258-3261. 7729843 doi: 10.1109/IGARSS.2016.7729843

Exact reverse backprojection for SAR raw data generation of natural scenes

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Keywords

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