TY - GEN
T1 - Compressive sensing-based SAR tomography
AU - Khomchuk, Peter
AU - Bilik, Igal
AU - Kasilingam, Dayalan P.
PY - 2010/7/30
Y1 - 2010/7/30
N2 - The problem of imaging multiple scattering components in SAR tomography is addressed in this work. It is proposed to exploit the sparsity of scattering components in the elevation domain by invoking the recently-proposed compressive sensing (CS) theory to achieve the separation of multiple scattering centers with fine elevation resolution. The major advantages of the proposed CS-based method over other conventional methods are evident in single snapshot scenarios with correlated scattering components. The proposed CS-based imaging method for SAR tomography is compared to the conventional MUSIC-based imaging method and the advantages of the proposed method in a variety of imaging scenarios is shown via simulations.
AB - The problem of imaging multiple scattering components in SAR tomography is addressed in this work. It is proposed to exploit the sparsity of scattering components in the elevation domain by invoking the recently-proposed compressive sensing (CS) theory to achieve the separation of multiple scattering centers with fine elevation resolution. The major advantages of the proposed CS-based method over other conventional methods are evident in single snapshot scenarios with correlated scattering components. The proposed CS-based imaging method for SAR tomography is compared to the conventional MUSIC-based imaging method and the advantages of the proposed method in a variety of imaging scenarios is shown via simulations.
UR - http://www.scopus.com/inward/record.url?scp=77954912827&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2010.5494598
DO - 10.1109/RADAR.2010.5494598
M3 - Conference contribution
AN - SCOPUS:77954912827
SN - 9781424458127
T3 - IEEE National Radar Conference - Proceedings
SP - 354
EP - 358
BT - 2010 IEEE Radar Conference
T2 - IEEE International Radar Conference 2010, RADAR 2010
Y2 - 10 May 2010 through 14 May 2010
ER -