TY - GEN
T1 - An Algorithm for Azimuth Ambiguities Detection on High Resolution SAR Images Using SSD
AU - Wang, Jian
AU - Chen, Jie
AU - Wang, Pengbo
AU - Men, Zhirong
AU - Pan, Xiangwei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Azimuth ambiguities in spaceborne synthetic aperture radar (SAR) will introduce multiple similar targets which will affect image quality seriously. Also, it will directly affect the correct rate of SAR image target detection. Many suppression methods were put forward, which made good results. But most of suppression methods need manually mark the azimuth ambiguities, which is obviously not suitable when processing huge amount of SAR images. For targets on the sea, this paper puts forward a new method to detect and mark azimuth ambiguities automatically in high resolution SAR images using single shot multibox detector (SSD) network of deep learning. Based on the Gaofen-3 spaceborne SAR images, the high resolution maritime ambiguities dataset (HRMAD) is conducted, including the main targets and ambiguities of boats, container and windmills. The SSD network is trained and tested using HRMAD. Experimental results show that the azimuth ambiguities on the sea can be detected automatically.
AB - Azimuth ambiguities in spaceborne synthetic aperture radar (SAR) will introduce multiple similar targets which will affect image quality seriously. Also, it will directly affect the correct rate of SAR image target detection. Many suppression methods were put forward, which made good results. But most of suppression methods need manually mark the azimuth ambiguities, which is obviously not suitable when processing huge amount of SAR images. For targets on the sea, this paper puts forward a new method to detect and mark azimuth ambiguities automatically in high resolution SAR images using single shot multibox detector (SSD) network of deep learning. Based on the Gaofen-3 spaceborne SAR images, the high resolution maritime ambiguities dataset (HRMAD) is conducted, including the main targets and ambiguities of boats, container and windmills. The SSD network is trained and tested using HRMAD. Experimental results show that the azimuth ambiguities on the sea can be detected automatically.
KW - SAR
KW - SSD network
KW - ambiguities targets detection
KW - azimuth ambiguities
UR - https://www.scopus.com/pages/publications/85091944844
U2 - 10.1109/ICSIDP47821.2019.9173356
DO - 10.1109/ICSIDP47821.2019.9173356
M3 - 会议稿件
AN - SCOPUS:85091944844
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -