TY - GEN
T1 - Image representation of GEO SAR time-variant scene
AU - Zhu, Yu
AU - Ke, Meng
AU - Zhang, Tianyi
AU - Li, Gen
AU - Ding, Zegang
N1 - Publisher Copyright:
© VDE VERLAG GMBH  Berlin  Offenbach.
PY - 2018
Y1 - 2018
N2 - Geosynchronous synthetic aperture radar (GEO SAR) is characterized by large coverage and short revisit time, and has great potentials for environment monitoring. The GEO SAR image of variant scene is obviously different from the traditional SAR image, because of the extremely long illumination time, which greatly increases the difficulty of SAR image interpolation. To further understand the GEO SAR images of the time-variant scenes, the geometry models and backscattering models of time-variant grassland and water surface are established. Furthermore, the GEO SAR images of them are obtained by simulation, which is benefit for the understanding of GEO SAR images.
AB - Geosynchronous synthetic aperture radar (GEO SAR) is characterized by large coverage and short revisit time, and has great potentials for environment monitoring. The GEO SAR image of variant scene is obviously different from the traditional SAR image, because of the extremely long illumination time, which greatly increases the difficulty of SAR image interpolation. To further understand the GEO SAR images of the time-variant scenes, the geometry models and backscattering models of time-variant grassland and water surface are established. Furthermore, the GEO SAR images of them are obtained by simulation, which is benefit for the understanding of GEO SAR images.
UR - https://www.scopus.com/pages/publications/85050461322
M3 - Conference contribution
AN - SCOPUS:85050461322
T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
SP - 987
EP - 991
BT - EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th European Conference on Synthetic Aperture Radar, EUSAR 2018
Y2 - 4 June 2018 through 7 June 2018
ER -