Data · dataset · 2024
Synthetic Aperture Radar Microwave Vision 3D Imaging Dataset-3.0
Listed in ScienceDB
This dataset is version 3.0 of the SAR microwave vision 3D imaging dataset (SARMV3D-3.0).
Description
The data set consists of three subsets: 1) Small UAV-borne full-polarization array-InSAR data subset; 2) Electromagnetic scattering data subset for typical scattering mechanisms; 3) Airborne array-InSAR data subset for typical targets.The first set consists of the UAV-borne full-polarization array-InSAR data of a building taken from 8 different directions, captured by the microwave vision three-dimensional SAR system (MV3DSAR) in Suzhou in October 2022.
It also contains laser point cloud data and optical oblique photography data acquired in the same period. This subset can be used in the study of SAR 3D imaging based on microwave vision.The second subset contains the UAV-borne full-polarization array-InSAR data captured by the MV3DSAR taken from one direction in Suzhou in October 2022. We placed SLICY modified models, ship models and aircplane models in the experiment site.
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These three models are composed of dihedral angle, sphere, trihedral angle, paraboloid, cylinder, and other scatterers. It can be used for the study of electromagnetic scattering mechanism.The third subset contains 14-channel airborne array In-SAR data of cars, ships and oil tanks. This subset can be used in the research of SAR 3D imaging based on microwave vision.To use the data set please quote:[1] QIU Xiaolan, LUO Yitong, CHENG Yao, LIN Bei, YANG Hong, SAR Microwave Vision 3D imaging Dataset 3.0[OL].
Journal of Radars, 2024. radars.ac.cn/web/data/getData?newsColumnId=2f2748db-10ef-4ad0-bcc4-f087ce59b6f8&pageType=en[2] QIU Xiaolan, JIAO Zekun, YANG Zhenli, et al. Key technology and preliminary progress of microwave vision 3D SAR experimental system[J]. Journal of Radars, 2022, 11(1): 1–19. doi: 10.12000/JR22027.[3] QIU Xiaolan, JIAO Zekun, PENG Lingxiao, et al. SARMV3D-1.0: Synthetic Aperture Radar Microwave Vision 3D Imaging Dataset[J].
Journal of Radars, 2021, 10(4): 485–498. doi: 10.12000/JR21112.Dataset Download Address: radars.ac.cn/web/data/getData?dataType=SARMV3DVersion1.0: radars.ac.cn/web/data/getData?newsColumnId=aac4fc85-5950-432a-8ca2-bf14608d4461Version 2.0: radars.ac.cn/web/data/getData?newsColumnId=f9286c6f-a287-4e5f-be76-105b07677c3c
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.radars.00001 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Imaging 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.radars.00001 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:imaging | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |