TY - GEN
T1 - Regularized SAR Tomography Approaches
AU - Budillon, Alessandra
AU - Denis, Loic
AU - Rambour, Clement
AU - Schirinzi, Gilda
AU - Tupin, Florence
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/26
Y1 - 2020/9/26
N2 - Synthetic Aperture Radar (SAR) tomographic techniques enable the reconstruction of the scene scattering structure along the vertical direction and can provide the temporal evolution of a cloud of reliable points located in the 3D space. The use of Generalized Likelihood Ratio Test approaches have been shown to be effective in selecting reliable multiple scatterers. Recently regularized tomographic methods have been proposed for increasing the density of the recovered scatterers in urban environments. This paper discusses the differences between these two approaches and performs a comparison of reconstruction results obtained from a stack of TerraSAR-X images, in a region of interest located in the city of Paris, France.
AB - Synthetic Aperture Radar (SAR) tomographic techniques enable the reconstruction of the scene scattering structure along the vertical direction and can provide the temporal evolution of a cloud of reliable points located in the 3D space. The use of Generalized Likelihood Ratio Test approaches have been shown to be effective in selecting reliable multiple scatterers. Recently regularized tomographic methods have been proposed for increasing the density of the recovered scatterers in urban environments. This paper discusses the differences between these two approaches and performs a comparison of reconstruction results obtained from a stack of TerraSAR-X images, in a region of interest located in the city of Paris, France.
KW - Differential Tomography
KW - GLRT
KW - SAR Interferometry
KW - SAR Tomography
KW - Scatterers detection
KW - regularized inversion
U2 - 10.1109/IGARSS39084.2020.9323807
DO - 10.1109/IGARSS39084.2020.9323807
M3 - Conference contribution
AN - SCOPUS:85101987924
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 108
EP - 111
BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Y2 - 26 September 2020 through 2 October 2020
ER -