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SAR-ISAR Blending Using Compressed Sensing Methods

Larsson, Christer LU and Jersblad, Johan (2015) 37th Annual Symposium of the Antenna Measurements Techniques Association In AMTA Proceedings p.1-6
Abstract
Inverse Synthetic Aperture Radar (ISAR) target

images are extracted using compressed sensing methods. The

extracted images are edited and merged into measured Synthetic

Aperture Radar (SAR) images. A noise free image of the target

is extracted from the Radar Cross Section (RCS) measurement

by using the Basis Pursuit Denoise (BPDN) method and then

solving for a model consisting of point scatterers. The target

signature point scatterers are then merged into a point scatterer

representation of the SAR background scene. This method means

that SAR images acquired in expensive airborne field trials can

be used efficiently to evaluate different targets and... (More)
Inverse Synthetic Aperture Radar (ISAR) target

images are extracted using compressed sensing methods. The

extracted images are edited and merged into measured Synthetic

Aperture Radar (SAR) images. A noise free image of the target

is extracted from the Radar Cross Section (RCS) measurement

by using the Basis Pursuit Denoise (BPDN) method and then

solving for a model consisting of point scatterers. The target

signature point scatterers are then merged into a point scatterer

representation of the SAR background scene. This method means

that SAR images acquired in expensive airborne field trials can

be used efficiently to evaluate different targets and camouflage

measured separately in a ground based setup. The method is

demonstrated with turntable measurements of a full scale target,

with and without camouflage, signature extraction and blending

into a SAR background. We find that the method provides an

efficient way of evaluating measured target signatures in SAR

backgrounds. (Less)
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AMTA Proceedings
pages
6 pages
publisher
Antenna Measurement Techniques Association
conference name
37th Annual Symposium of the Antenna Measurements Techniques Association
language
English
LU publication?
yes
id
15e4a5b4-08d6-4e40-b959-a0e1f4639d27 (old id 8160870)
date added to LUP
2015-11-04 11:07:59
date last changed
2016-04-16 07:44:01
@misc{15e4a5b4-08d6-4e40-b959-a0e1f4639d27,
  abstract     = {Inverse Synthetic Aperture Radar (ISAR) target<br/><br>
images are extracted using compressed sensing methods. The<br/><br>
extracted images are edited and merged into measured Synthetic<br/><br>
Aperture Radar (SAR) images. A noise free image of the target<br/><br>
is extracted from the Radar Cross Section (RCS) measurement<br/><br>
by using the Basis Pursuit Denoise (BPDN) method and then<br/><br>
solving for a model consisting of point scatterers. The target<br/><br>
signature point scatterers are then merged into a point scatterer<br/><br>
representation of the SAR background scene. This method means<br/><br>
that SAR images acquired in expensive airborne field trials can<br/><br>
be used efficiently to evaluate different targets and camouflage<br/><br>
measured separately in a ground based setup. The method is<br/><br>
demonstrated with turntable measurements of a full scale target,<br/><br>
with and without camouflage, signature extraction and blending<br/><br>
into a SAR background. We find that the method provides an<br/><br>
efficient way of evaluating measured target signatures in SAR<br/><br>
backgrounds.},
  author       = {Larsson, Christer and Jersblad, Johan},
  language     = {eng},
  pages        = {1--6},
  publisher    = {ARRAY(0xb96b010)},
  series       = {AMTA Proceedings},
  title        = {SAR-ISAR Blending Using Compressed Sensing Methods},
  year         = {2015},
}