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Comparison of predetection and postdetection fusion for mine detection
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gunatilaka, Ajith H. Baertlein, Brian A. |
| Copyright Year | 1999 |
| Abstract | We present and compare methods for pre-detection and post- detection fusion of multi-sensor data. This study emphasis methods suitable for data that are non-commensurate and sampled at non-coincident points. Decision-level fusion is most convenient for such data, but this approach is sub- optimal in principle, since targets not detected by all sensor will not achieve the maximum benefits of fusion. A novel feature-level fusion algorithm for these conditions is described. The optimal forms of both decision-level and feature-level fusion are described, and some approximations are reviewed. Preliminary result for these two fusion techniques are presented for experimental data acquired by a metal detector, a ground-penetrating radar, and an IR camera. |
| File Format | PDF HTM / HTML |
| DOI | 10.1117/12.357000 |
| Volume Number | 3710 |
| Alternate Webpage(s) | http://people.ee.duke.edu/~lcarin/DeminingMURI/OSU_SPIE99_PrePost_Det_Fusion.pdf |
| Alternate Webpage(s) | http://www.ee.duke.edu/~lcarin/DeminingMURI/OSU_SPIE99_PrePost_Det_Fusion.pdf |
| Alternate Webpage(s) | https://doi.org/10.1117/12.357000 |
| Journal | Defense, Security, and Sensing |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
