Abstract
Automatic Target Indexing using Synthetic Aperture Radar (SAR) imagery is investigated. Target areas are located using a Constant False Alarm Rate (CFAR) detector. Classification of targets is performed using the Topographical Primal Sketch, which assigns each pixel a label that is invariant under monotonic gray tone transformations. The use of a topographic scheme based on the curvature of underlying image intensity allows for the classification of targets in high resolution imagery. Target matching is performed using correlation and graph matching schemes that incorporate quantitative values associated with each feature as well as qualitative feature labels. Experimental results for indexing of targets performed at 1 foot and 1 meter resolutions are presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2152-2155 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 4 |
| State | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: May 7 1996 → May 10 1996 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering