Issue |
Natl Sci Open
Volume 3, Number 5, 2024
Special Topic: Microwave Vision and SAR 3D Imaging
|
|
---|---|---|
Article Number | 20230067 | |
Number of page(s) | 20 | |
Section | Information Sciences | |
DOI | https://doi.org/10.1360/nso/20230067 | |
Published online | 06 March 2024 |
RESEARCH ARTICLE
Exploiting SAR visual semantics in TomoSAR for 3D modeling of buildings
1
School of Network Engineering, Zhoukou Normal University, Zhoukou 466000, China
2
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China
3
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
* Corresponding authors (emails: qldong@nlpr.ia.ac.cn (Qiulei Dong); huzy@nlpr.ia.ac.cn (Zhanyi Hu))
Received:
28
October
2023
Revised:
25
January
2024
Accepted:
1
March
2024
Recently a new paradigm is emerging in synthetic aperture radar (SAR) three-dimensional (3D) imaging technology where the imaging performance is enhanced by exploiting SAR visual semantics. Here by “SAR visual semantics”, we mean primarily the scene conceptual structural information extracted directly from SAR images. Under this paradigm, a paramount open problem lies in what and how the SAR visual semantics could be extracted and used at different levels associated with different structural information. This work is a tentative attempt to tackle the above what-and-how problem, and it mainly consists of the following two parts. The first part is a sketchy description of how three-level (low, middle, and high) SAR visual semantics could be extracted and used in SAR Tomography (TomoSAR), including an extension of SAR visual semantics analysis (e.g., facades and roofs) to sparse 3D points initially recovered via traditional TomoSAR methods. The second part is a case study on two open source TomoSAR datasets to illustrate and validate the effectiveness and efficiency of SAR visual semantics exploitation in TomoSAR for box-like 3D building modeling. Due to the space limit, only main steps of the involved methods are reported, and we hope, such neglects of technical details will not severely compromise the underlying key concepts and ideas.
Key words: SAR visual semantics / TomoSAR / box-like building modeling
© The Author(s) 2024. Published by Science Press and EDP Sciences.
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