ISAR Dataset for the Recognition of Conical Targets with Micro-Motion
Abstract In recent years, the recognition of ballistic micro-motion targets based on deep learning has been extensively studied. However, currently, there are no publicly available datasets; all datasets come from simulations conducted by researchers themselves. In this study, it was found that even...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05193-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849335705921126400 |
|---|---|
| author | Zhichen Zhao Degui Yang Xing Wang Jianxuan Xu |
| author_facet | Zhichen Zhao Degui Yang Xing Wang Jianxuan Xu |
| author_sort | Zhichen Zhao |
| collection | DOAJ |
| description | Abstract In recent years, the recognition of ballistic micro-motion targets based on deep learning has been extensively studied. However, currently, there are no publicly available datasets; all datasets come from simulations conducted by researchers themselves. In this study, it was found that even when the motion parameters and model are kept the same, the details of the electromagnetic simulation method have a significant impact on the data. Therefore, there is an urgent need for a publicly available dataset to evaluate the performance of different methods. The ISAR Micro-Motion Dataset (IMD) is a simulated radar echo dataset based on the working principles of fully polarimetric ISAR. It consists of two components: aspect angle sequence data and static electric field data of the target. This paper presents a unified process for generating target radar echoes and discusses how various details can impact the results. |
| format | Article |
| id | doaj-art-98402d33ef8d4ca798d8a8c8a1d45849 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-98402d33ef8d4ca798d8a8c8a1d458492025-08-20T03:45:11ZengNature PortfolioScientific Data2052-44632025-06-0112111210.1038/s41597-025-05193-4ISAR Dataset for the Recognition of Conical Targets with Micro-MotionZhichen Zhao0Degui Yang1Xing Wang2Jianxuan Xu3School of Automation, Central South UniversitySchool of Automation, Central South UniversitySchool of Automation, Central South UniversitySchool of Computing, Macquarie UniversityAbstract In recent years, the recognition of ballistic micro-motion targets based on deep learning has been extensively studied. However, currently, there are no publicly available datasets; all datasets come from simulations conducted by researchers themselves. In this study, it was found that even when the motion parameters and model are kept the same, the details of the electromagnetic simulation method have a significant impact on the data. Therefore, there is an urgent need for a publicly available dataset to evaluate the performance of different methods. The ISAR Micro-Motion Dataset (IMD) is a simulated radar echo dataset based on the working principles of fully polarimetric ISAR. It consists of two components: aspect angle sequence data and static electric field data of the target. This paper presents a unified process for generating target radar echoes and discusses how various details can impact the results.https://doi.org/10.1038/s41597-025-05193-4 |
| spellingShingle | Zhichen Zhao Degui Yang Xing Wang Jianxuan Xu ISAR Dataset for the Recognition of Conical Targets with Micro-Motion Scientific Data |
| title | ISAR Dataset for the Recognition of Conical Targets with Micro-Motion |
| title_full | ISAR Dataset for the Recognition of Conical Targets with Micro-Motion |
| title_fullStr | ISAR Dataset for the Recognition of Conical Targets with Micro-Motion |
| title_full_unstemmed | ISAR Dataset for the Recognition of Conical Targets with Micro-Motion |
| title_short | ISAR Dataset for the Recognition of Conical Targets with Micro-Motion |
| title_sort | isar dataset for the recognition of conical targets with micro motion |
| url | https://doi.org/10.1038/s41597-025-05193-4 |
| work_keys_str_mv | AT zhichenzhao isardatasetfortherecognitionofconicaltargetswithmicromotion AT deguiyang isardatasetfortherecognitionofconicaltargetswithmicromotion AT xingwang isardatasetfortherecognitionofconicaltargetswithmicromotion AT jianxuanxu isardatasetfortherecognitionofconicaltargetswithmicromotion |