TY - GEN
T1 - Fully three-dimensional UAV SAR imaging with multi-azimuth-angle observation
AU - Kuang, Hui
AU - Chen, Jie
AU - Yang, Wei
AU - Liu, Wei
AU - Zhu, Xia
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - The multi-azimuth-angle (MAA) UAV SAR is introduced in this paper. Compared with the traditional TomoSAR that rebuilds the 3-D scene only from the boresight aspect, the MAA UAV SAR can rebuild the 3-D scene from different multi azimuth angles and then provide multiple or even full aspects 3-D image by the novel 3-D image formation algorithm presented in this paper. Firstly, the MAA UAV SAR is introduced, followed by the 2-D imaging algorithm to focus the raw data. Then, a novel squinted tomography method is provided to obtain squinted 3-D image using multiple 2-D images with the same azimuth angle. Finally, the squinted 3-D images are geolocated and fused to construct a full 3-D image. Imaging results are provided to demonstrate the better performance of the MAA SAR.
AB - The multi-azimuth-angle (MAA) UAV SAR is introduced in this paper. Compared with the traditional TomoSAR that rebuilds the 3-D scene only from the boresight aspect, the MAA UAV SAR can rebuild the 3-D scene from different multi azimuth angles and then provide multiple or even full aspects 3-D image by the novel 3-D image formation algorithm presented in this paper. Firstly, the MAA UAV SAR is introduced, followed by the 2-D imaging algorithm to focus the raw data. Then, a novel squinted tomography method is provided to obtain squinted 3-D image using multiple 2-D images with the same azimuth angle. Finally, the squinted 3-D images are geolocated and fused to construct a full 3-D image. Imaging results are provided to demonstrate the better performance of the MAA SAR.
KW - 3-D imaging
KW - multi-azimuth-angle (MAA) SAR
KW - Synthetic aperture radar (SAR)
UR - https://www.scopus.com/pages/publications/85041856575
U2 - 10.1109/IGARSS.2017.8126994
DO - 10.1109/IGARSS.2017.8126994
M3 - Conference article published in proceeding or book
AN - SCOPUS:85041856575
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 470
EP - 473
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -