Abstract
A new detection algorithm was presented to detect multicategory targets of known shape-feature and unknown spectral signature in unknown environment. Firstly, a point spread function was constructed via high-order moments of quadratic form of data samples to obtain adaptive structured background. Then, a priori shape-features of targets were utilized to construct a shape-feature subspace which is matched with high-dimension spectral signature space. Theoretic analysis and the results of experiment verify the effectiveness of the algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 353-358 |
| Number of pages | 6 |
| Journal | Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves |
| Volume | 26 |
| Issue number | 5 |
| State | Published - Oct 2007 |
Keywords
- Hyperspectral imagery
- Information processing technology
- Multicategory targets detection
- Shape-feature sub-space
- Structured background