Research of Multi-band Image Recognition Applied to Ships. Issue 4 (January 2021)
- Record Type:
- Journal Article
- Title:
- Research of Multi-band Image Recognition Applied to Ships. Issue 4 (January 2021)
- Main Title:
- Research of Multi-band Image Recognition Applied to Ships
- Authors:
- Lu, Jiahao
Hu, Guosheng
Xia, Jun
Song, Zhenjun - Abstract:
- Abstract: Aiming at the shortcomings of the traditional local feature recognition method of multi-band ship image target, the recognition speed is slow, and a local feature recognition method of multi-band ship image target is proposed. First, by detecting key points and feature matching, the local features of the multi-band ship image target are extracted; then, the multi-classifier combination is used to train and identify the local features through the linear classifier and the non-linear classifier, so that the design of local feature recognition method of multi-band ship image target is completed. Through comparison experiments, compared with the traditional local feature recognition method of multi-band ship image target, the experimental results show that the proposed local feature recognition method of multi-band ship image target has faster recognition speed.
- Is Part Of:
- Journal of physics. Volume 1748:Issue 4(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1748:Issue 4(2021)
- Issue Display:
- Volume 1748, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 1748
- Issue:
- 4
- Issue Sort Value:
- 2021-1748-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1748/4/042002 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25472.xml