TY - GEN
T1 - Analysis of radio frequency interference signatures in UAVSAR polarimetrie data
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 critical issue for Polarimetric synthetic aperture radar (PolSAR). The analysis of RFI signatures and its influence on PolSAR data seems to be lacking in existing literatures, especially for PolSAR post products, such as the polarimetric decomposition parameters and clustering result. The goal of this paper is trying to reveal the link between RFI and polarization, as well as to analyze the impact of interference on PolSAR image and post products. Qualitative and quantitative analyses of the adverse impacts of RFI on NASA/JPL UAVSAR dataset are illustrated from two perspectives, i.e., evaluation of imaging quality and interpretation of scattering mechanisms.
AB - Radio frequency interference (RFI) is a critical issue for Polarimetric synthetic aperture radar (PolSAR). The analysis of RFI signatures and its influence on PolSAR data seems to be lacking in existing literatures, especially for PolSAR post products, such as the polarimetric decomposition parameters and clustering result. The goal of this paper is trying to reveal the link between RFI and polarization, as well as to analyze the impact of interference on PolSAR image and post products. Qualitative and quantitative analyses of the adverse impacts of RFI on NASA/JPL UAVSAR dataset are illustrated from two perspectives, i.e., evaluation of imaging quality and interpretation of scattering mechanisms.
UR - http://www.scopus.com/inward/record.url?scp=85046147994&partnerID=8YFLogxK
U2 - 10.23919/URSIGASS.2017.8104492
DO - 10.23919/URSIGASS.2017.8104492
M3 - 会议稿件
AN - SCOPUS:85046147994
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 -