Abstract
One novel dimensional reduction method based on manifold modeling is applied on Rice single pixel camera for targets classification. The number of measurements is at least halved compared with equivalent classification result via random projections.
| Original language | English (US) |
|---|---|
| Title of host publication | Computational Optical Sensing and Imaging, COSI 2013 |
| Publisher | Optical Society of America |
| ISBN (Print) | 9781557529756 |
| State | Published - Jan 1 2013 |
| Event | Computational Optical Sensing and Imaging, COSI 2013 - Arlington, VA, United States Duration: Jun 23 2013 → Jun 27 2013 |
Other
| Other | Computational Optical Sensing and Imaging, COSI 2013 |
|---|---|
| Country/Territory | United States |
| City | Arlington, VA |
| Period | 6/23/13 → 6/27/13 |
ASJC Scopus subject areas
- Instrumentation
- Atomic and Molecular Physics, and Optics