TY - GEN
T1 - Correction of ultra wide-band radio frequency interference in SAR data using nonnegative matrix factorization
AU - Tao, Mingliang
AU - Zhou, Feng
N1 - Publisher Copyright:
© 2017 URSI.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - Radio frequency interference (RFI) is a major issue for synthetic aperture radar (SAR), and would affect the image quality and image interpretation. The majority of existing methods are applied on each azimuth echoes along range direction with the assumption that bandwidth of RFI is less than that of SAR. However, if SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we discussed the characteristics of ultra wide-band RFI, and proposed a mitigation method using nonnegative matrix factorization along azimuth direction. The experimental results indicate the effectiveness of the proposed method.
AB - Radio frequency interference (RFI) is a major issue for synthetic aperture radar (SAR), and would affect the image quality and image interpretation. The majority of existing methods are applied on each azimuth echoes along range direction with the assumption that bandwidth of RFI is less than that of SAR. However, if SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we discussed the characteristics of ultra wide-band RFI, and proposed a mitigation method using nonnegative matrix factorization along azimuth direction. The experimental results indicate the effectiveness of the proposed method.
UR - https://www.scopus.com/pages/publications/85046122309
U2 - 10.23919/URSIGASS.2017.8104493
DO - 10.23919/URSIGASS.2017.8104493
M3 - 会议稿件
AN - SCOPUS:85046122309
T3 - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
SP - 1
EP - 4
BT - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Y2 - 19 August 2017 through 26 August 2017
ER -