Abstract
This paper presents a new approach to smart sensor system design for real-time remote sensing. A combination of techniques for image analysis and image compression is investigated. The proposed algorithms include: (1) a fractional discrimination function for image analysis, (2) a comparison of effective algorithms for image compression, (3) a pipeline architecture for parallel image classification and compression on-board satellites, and (4) a task control strategy for mapping image computing models to hardware processing elements. The efficiency and accuracy of the proposed techniques are demonstrated throughout system simulation.
| Original language | English |
|---|---|
| Pages (from-to) | 481-499 |
| Number of pages | 19 |
| Journal | International Journal of Image and Graphics |
| Volume | 2 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2002 |
Keywords
- Real-time imaging
- Remote sensing
- Image classification
- Discrimination function
- Pipeline architecture