A New Passive 3-D Automatic Target Recognition Architecture for Aerial Platforms
- Submitting institution
-
City, University of London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 461
- Type
- D - Journal article
- DOI
-
10.1109/TGRS.2018.2855065
- Title of journal
- IEEE Transactions on Geoscience and Remote Sensing
- Article number
- -
- First page
- 406
- Volume
- 57
- Issue
- 1
- ISSN
- 0196-2892
- Open access status
- Technical exception
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a new 3D object recognition algorithm, which is innovatively introduced for LIDAR data obtained from Unmanned Aerial Vehicles (UAVs). This paper is supported by the following projects: 1-Title: 3D ATR and Man in the Loop for Missiles, Funding body: MCM-ITP and Sagem and 2-Title: 3D ATR for Missile Seekers Funding body: MBDA. The algorithm is based on structure from motion pipeline and a new 3D feature description technique and it is adopted for the first time in drone applications, exhibiting improved target recognition accuracy and fast real time computation compared to other classical 3D object recognition algorithms.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -