@inproceedings{404fe988b0ed406fa9645f6d8ccef6de,
title = "Three-Dimensional Reconstruction of Multi-View SAR Ship Targets Based on Semantic Information",
abstract = "Three-dimensional (3-D) reconstruction of multi-view synthetic aperture radar (SAR) can effectively correct geometric distortion and recover the target scene intuitively. However, due to the drastic changes in SAR images during the multi-view observation, it would appear many false estimation points in the traditional 3-D reconstruction algorithms. This paper proposes a new 3-D reconstruction algorithm based on semantic information of ship structure to improve the 3-D reconstruction results with multi-view SAR. The semantic information is used to construct the 3-D solution space of the ship target, which can greatly improve the reconstruction accuracy. Simulations verify the effectiveness of the proposed algorithm.",
keywords = "Multi-view SAR, semantic information, ship target, three-dimensional reconstruction",
author = "Gaopeng Li and Xueying Yang and Yun Zhang and Bin Liu and Hang Ren",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",
year = "2024",
doi = "10.1109/IGARSS53475.2024.10642146",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "9794--9797",
booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
address = "美国",
}