Data · dataset · 2024
Dataset for Ship Target Tracking and Trajectory Fusion in Maritime Surveillance
Listed in ScienceDB
This dataset addresses the data requirements for technological research in target tracking and fusion, as well as the problems with currently available datasets, such as data scarcity, poor scene design specificity, uniform data formats, and incomplete data descriptions.
Description
Through simulation software, we emulate multi-sensor multi-target detection data in complex scenarios, presenting a dataset tailored for typical maritime surveillance scenarios—targeting ships using 2D radar and Electronic Support Measures (ESM) sensors.
The simulation software comprises two parts: a scenario generator and a sensor simulator, forming a mature target tracking scenario simulation environment that provides realistic detection data modeling capabilities. The dataset includes 2D radar and ESM sensors, covering typical maritime ship categories, supporting configurations with radiation sources, and is designed for a variety of scenarios such as high-speed motion, dense traffic, multi-sensor data fusion, specific ship detection, and cross-positioning.
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The dataset contains a total of 368,155 target tracks, with 101 ships, spanning 15,000 seconds. The data format conforms to actual device reporting scenarios, and the detection error model aligns with reality, serving as foundational data for research and validation of ship target tracking and trajectory fusion algorithms.The time range of the data is 15,000 seconds, and the geographic range is 116.69751°E-121.23773°E, 22.57222°N-26.509774°N, which includes Fujian Province, Taiwan Province, and part of the East China Sea.
The data volume is 80.8 MB.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00001.00920 ↗
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
- Simulation 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00001.00920 | 12 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[method].local:method:simulation | 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 |