An ionospheric model-free pattern classification approach is proposed for associating tracks in Over The Horizon Radar. A set of track features and track affinity measures are derived according to human perceptual grouping principles. To facilitate the pairwise association of the tracks, neural networks and statistical methods are applied to combine different track affinities. A posterior pseudo-probability measuring association is produced for every pair of tracks.
|Number of pages||6|
|Publication status||Published - 1995|
|Event||Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust|
Duration: 27 Nov 1995 → 1 Dec 1995
|Conference||Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)|
|Period||27/11/95 → 1/12/95|