TY - JOUR
T1 - The Signals of Opportunity Coherent Bistatic Scattering Simulator
T2 - A Free Open Source Framework [Software and Data Sets]
AU - Eroglu, Orhan
AU - Boyd, Dylan R.
AU - Kurum, Mehmet
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - Signals of opportunity (SoOp) has the potential to offer cost-effective global remote sensing for land applications. Because of the complexity of SoOp scattering over land, comprehensive bistatic scattering models and simulators can help demonstrate its feasibility. To investigate this potential, we have developed a generalized, fully polarimetric forward model: the SoOp Coherent Bistatic Scattering (SCoBi) model. We have also developed a simulator framework, employing the SCoBi model to create an analysis environment for a community of researchers, scientists, and users with little or no electromagnetic background. We aim to enable studying and analyzing new SoOp methods with varying configurations; determining the optimal cases for specific missions; and generating, visualizing, and analyzing test data with the help of SCoBi.
AB - Signals of opportunity (SoOp) has the potential to offer cost-effective global remote sensing for land applications. Because of the complexity of SoOp scattering over land, comprehensive bistatic scattering models and simulators can help demonstrate its feasibility. To investigate this potential, we have developed a generalized, fully polarimetric forward model: the SoOp Coherent Bistatic Scattering (SCoBi) model. We have also developed a simulator framework, employing the SCoBi model to create an analysis environment for a community of researchers, scientists, and users with little or no electromagnetic background. We aim to enable studying and analyzing new SoOp methods with varying configurations; determining the optimal cases for specific missions; and generating, visualizing, and analyzing test data with the help of SCoBi.
UR - https://www.scopus.com/pages/publications/85079893032
U2 - 10.1109/MGRS.2019.2916071
DO - 10.1109/MGRS.2019.2916071
M3 - Article
AN - SCOPUS:85079893032
SN - 2473-2397
VL - 8
SP - 63
EP - 75
JO - IEEE Geoscience and Remote Sensing Magazine
JF - IEEE Geoscience and Remote Sensing Magazine
IS - 3
M1 - 9007417
ER -