Abstract
The alignment between the point-like 3D inverse synthetic aperture radar (ISAR) reconstruction produced by 3D ISAR imaging and model of the target is an essential issue in target recognition by 3D ISAR reconstruction, which contains coarse alignment and accurate alignment. The coarse alignment can be accomplished by principal component analysis (PCA). However, PCA may suffer from the 180-degree ambiguity problem due to the uncertainty of the orientations of principal components. In this paper, an effective and robust approach making use of the orthogonality among the principal components and k-d tree is proposed to address the ambiguity problem. The experimental results of the real measured data verify the validity of the proposed method.
| Original language | English |
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| Title of host publication | EUSAR 2021; 13th European Conference on Synthetic Aperture Radar |
| Publisher | VDE Verlag GmbH |
| Pages | 46-51 |
| Number of pages | 6 |
| ISBN (Print) | 9783800754571 |
| Publication status | Published - 2 Jul 2021 |
| Event | 13th European Conference on Synthetic Aperture Radar, EUSAR 2021 - Virtual, Online, Germany Duration: 29 Mar 2021 → 1 Apr 2021 |
Publication series
| Name | Electronic proceedings (EUSAR) |
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| ISSN (Electronic) | 2197-4403 |
Conference
| Conference | 13th European Conference on Synthetic Aperture Radar, EUSAR 2021 |
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| Country/Territory | Germany |
| City | Virtual, Online |
| Period | 29/03/21 → 1/04/21 |
Bibliographical note
Funding Information:This work was supported in part by the National Natural Science Foundation of China under Grant 61771050, in part by the 111 Project of China under Grant B14010, and in part by the Chang Jiang Scholars Programme under Grant No. T2012122.
Publisher Copyright:
© VDE VERLAG GMBH . Berlin . Offenbach
ASJC Scopus subject areas
- Signal Processing
- Instrumentation