SAR-ISAR Blending Using Compressed Sensing Methods
Författare
Summary, in English
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.
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.
Publiceringsår
2015
Språk
Engelska
Sidor
1-6
Publikation/Tidskrift/Serie
AMTA Proceedings
Fulltext
Dokumenttyp
Konferensbidrag
Förlag
Antenna Measurement Techniques Association
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
37th Annual Symposium of the Antenna Measurements Techniques Association
Conference date
2015-10-13
Conference place
Long Beach, United States
Status
Published
Forskningsgrupp
- Electromagnetic theory