Radar-based ground surveillance provided by airborne platforms or based on distributed land-based installations is an essential ingredient for modern activity-based intelligence. Therefore, ground moving target indication radar detects objects within wide areas on land and sea and reports them through extracted radar plots. Often these radar plots end up in a big data problem due to the high number of involved objects and the long duration of typical surveillance missions. Also, the object trajectories reported by radar plots may be interrupted due to terrain masking and radar blindness within the Doppler notch. Multi-object tracking techniques create continuous object trajectories by considering the radar plots collected by multiple platforms together with topography and infrastructure. Higher level aggregation methods, like convoy detection, group tracking and traffic flow estimation, are additional methods of data analytics. Applied on the radar-based ground picture they contribute to the overall situation assessment and are suitable for focussing the attention of the users. Besides these detection and tracking aspects, object classification and identification is necessary to complete the situational ground picture. Radar contributes e.g. with synthetic aperture radar or high-range resolution. Finally, data fusion is used to combine the radar picture with additional data coming from other sensors or transponder systems.
Radar-based ground surveillance, Page 1 of 2
< Previous page Next page > /docserver/preview/fulltext/books/ra/sbra512g/SBRA512G_ch12-1.gif /docserver/preview/fulltext/books/ra/sbra512g/SBRA512G_ch12-2.gif