TY - GEN
T1 - Ship Detection in Synthetic Aperture Radar Imagery Based on Discriminative Dictionary Learning
AU - Wang, Yun
AU - Chen, Liang
AU - Shi, Hao
AU - Zhang, Bocheng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The ship target detection technology based on SAR image has important significance in military and civil field applications and is one of the research hotspots at this stage. In this paper, the research work on typical problems in SAR image ship target detection is carried out. A ship target detection algorithm based on discriminative dictionary learning is proposed, which mainly includes image denoising, candidate region extraction and candidate region identification. Firstly, an adaptive non-local filtering method is used to denoise the SAR image. Then the gradient feature map reconstruction algorithm is used to extract the candidate regions. Finally, the category constrained discriminative dictionary learning method is used to classify the candidate regions. The algorithm is based on GF-3 and Terra SAR data. The experimental results show that the proposed algorithm has strong robustness and adaptability.
AB - The ship target detection technology based on SAR image has important significance in military and civil field applications and is one of the research hotspots at this stage. In this paper, the research work on typical problems in SAR image ship target detection is carried out. A ship target detection algorithm based on discriminative dictionary learning is proposed, which mainly includes image denoising, candidate region extraction and candidate region identification. Firstly, an adaptive non-local filtering method is used to denoise the SAR image. Then the gradient feature map reconstruction algorithm is used to extract the candidate regions. Finally, the category constrained discriminative dictionary learning method is used to classify the candidate regions. The algorithm is based on GF-3 and Terra SAR data. The experimental results show that the proposed algorithm has strong robustness and adaptability.
KW - Discriminative Dictionary Learning
KW - SAR Imagery
KW - Ship Detection
UR - http://www.scopus.com/inward/record.url?scp=85083496178&partnerID=8YFLogxK
U2 - 10.1109/APSAR46974.2019.9048295
DO - 10.1109/APSAR46974.2019.9048295
M3 - Conference contribution
AN - SCOPUS:85083496178
T3 - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
BT - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Y2 - 26 November 2019 through 29 November 2019
ER -