Abstract
In order to meet the needs of efficient SAR detection of marine ship targets, this paper proposes a ship target detection processing framework based on non-image domain, which is divided into three parts: data generation, rough detection and fine detection. Composite scene data and real scene data are processed to demonstrate the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2022 5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 41-44 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350320428 |
| DOIs | |
| State | Published - 2022 |
| Event | 5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022 - Beijing, China Duration: 2 Dec 2022 → 4 Dec 2022 |
Publication series
| Name | Proceedings - 2022 5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022 |
|---|
Conference
| Conference | 5th International Conference on Electronics and Electrical Engineering Technology, EEET 2022 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 2/12/22 → 4/12/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 14 Life Below Water
Keywords
- Non-image detection
- Real time detection
- SAR
- Ship detection
Fingerprint
Dive into the research topics of 'Ship Target Detection Framework Based on Non-Image Domain'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver