Advances in SAR-ISAR blending

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Standard

Advances in SAR-ISAR blending. / Larsson, Christer; Jersblad, Johan.

2017 Antenna Measurement Techniques Association Symposium, AMTA 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. s. 1-6.

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Harvard

Larsson, C & Jersblad, J 2017, Advances in SAR-ISAR blending. i 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., s. 1-6, 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017, Atlanta, USA, 2017/10/15. https://doi.org/10.23919/AMTAP.2017.8123701

APA

Larsson, C., & Jersblad, J. (2017). Advances in SAR-ISAR blending. I 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017 (Vol. 2017-January, s. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/AMTAP.2017.8123701

CBE

Larsson C, Jersblad J. 2017. Advances in SAR-ISAR blending. I 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017. Institute of Electrical and Electronics Engineers Inc. s. 1-6. https://doi.org/10.23919/AMTAP.2017.8123701

MLA

Larsson, Christer och Johan Jersblad "Advances in SAR-ISAR blending". 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017. Institute of Electrical and Electronics Engineers Inc. 2017, 1-6. https://doi.org/10.23919/AMTAP.2017.8123701

Vancouver

Larsson C, Jersblad J. Advances in SAR-ISAR blending. I 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. s. 1-6 https://doi.org/10.23919/AMTAP.2017.8123701

Author

Larsson, Christer ; Jersblad, Johan. / Advances in SAR-ISAR blending. 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. s. 1-6

RIS

TY - GEN

T1 - Advances in SAR-ISAR blending

AU - Larsson, Christer

AU - Jersblad, Johan

PY - 2017/11/28

Y1 - 2017/11/28

N2 - Radar signature measurements of targets with or without camouflage in different backgrounds using airborne SAR are complex and expensive. Measurements at many orientations as well as illumination angles have to be performed for each target for completeness. A more efficient solution is to use ground based ISAR measurements of the desired targets and then blend these images into measured SAR scenes. A SAR-ISAR blending method where the target and background are modelled by point scatterer representations is described in this paper. The point scatterer representations for the target and the SAR background are determined by solving two separate inverse problems using ℓ1 and ℓ2-minimization methods. The model for the target measured by ISAR is naturally sparse in the image domain and is therefore solved using an ℓ1-minimization method while the model for the SAR background image that is not sparse is solved using an ℓ2- minimization method. The proposed method is demonstrated and it is determined that it provides an efficient way of evaluating measured ISAR target signatures in measured SAR backgrounds.

AB - Radar signature measurements of targets with or without camouflage in different backgrounds using airborne SAR are complex and expensive. Measurements at many orientations as well as illumination angles have to be performed for each target for completeness. A more efficient solution is to use ground based ISAR measurements of the desired targets and then blend these images into measured SAR scenes. A SAR-ISAR blending method where the target and background are modelled by point scatterer representations is described in this paper. The point scatterer representations for the target and the SAR background are determined by solving two separate inverse problems using ℓ1 and ℓ2-minimization methods. The model for the target measured by ISAR is naturally sparse in the image domain and is therefore solved using an ℓ1-minimization method while the model for the SAR background image that is not sparse is solved using an ℓ2- minimization method. The proposed method is demonstrated and it is determined that it provides an efficient way of evaluating measured ISAR target signatures in measured SAR backgrounds.

UR - http://www.scopus.com/inward/record.url?scp=85043459503&partnerID=8YFLogxK

U2 - 10.23919/AMTAP.2017.8123701

DO - 10.23919/AMTAP.2017.8123701

M3 - Paper in conference proceeding

AN - SCOPUS:85043459503

VL - 2017-January

SP - 1

EP - 6

BT - 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017

Y2 - 15 October 2017 through 20 October 2017

ER -