TY - GEN
T1 - Complex Target Imaging Model Based on Statistical Characterization and Structured Characterizations
AU - Feng, Shuo Jia
AU - Zhang, Yun
AU - Li, Hong Bo
AU - Zhao, Yi Lun
AU - Lu, Ya Dong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The synthetic aperture radar (SAR) image of a complex target can be approximated by the composite composition of typical scatter bodies, by segmenting the SAR target image, the complex target can be decomposed into a structural combination of multiple scatterers. Based on the above conclusions, this paper proposes to model the structural components of complex targets under high-resolution observation conditions and construct a complex target imaging model, decompose a large complex ship target into multiple scattering bodies, coupled structures and large distribution areas, enhance the structured feature of complex targets based on the a priori knowledge of the coupling characteristics and distribution characteristics of known scatterers, and achieve the modeling of complex targets. this paper proposes a SAR imaging model with a combination of structural and statistical features to provide a new technical way of utilizing the data effectively.
AB - The synthetic aperture radar (SAR) image of a complex target can be approximated by the composite composition of typical scatter bodies, by segmenting the SAR target image, the complex target can be decomposed into a structural combination of multiple scatterers. Based on the above conclusions, this paper proposes to model the structural components of complex targets under high-resolution observation conditions and construct a complex target imaging model, decompose a large complex ship target into multiple scattering bodies, coupled structures and large distribution areas, enhance the structured feature of complex targets based on the a priori knowledge of the coupling characteristics and distribution characteristics of known scatterers, and achieve the modeling of complex targets. this paper proposes a SAR imaging model with a combination of structural and statistical features to provide a new technical way of utilizing the data effectively.
KW - 3-D scattering center
KW - Radar scattering
KW - Structure characterization
KW - Synthetic aperture radar images
KW - Target reconstruction
UR - https://www.scopus.com/pages/publications/85204870390
U2 - 10.1109/IGARSS53475.2024.10641345
DO - 10.1109/IGARSS53475.2024.10641345
M3 - 会议稿件
AN - SCOPUS:85204870390
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 10664
EP - 10667
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -