
handle: 11587/345911
In a first aspect, the present invention provides a method for performing radar image segmentation, the method comprising: using a radar, generating a radar image of an area of terrain, the radar image deriving from radar observations taken along a plurality of azimuth angles; performing a background extraction process on the radar image to extract a background image comprising extracted radar observations, the background extraction process comprising estimating a range spread of a radar echo from the surface of the terrain as function of the azimuth angle and a tilt of the radar relative to the surface of the terrain; fitting a model to the extracted radar observations along a particular azimuth angle; determining a value of a parameter indicative of the goodness of fit between the model and the extracted radar observations along the particular azimuth angle; and determining a classification depending on the value of the parameter for that azimuth angle.
Radar-based segmentation; ground echo model; short-sensing radar; perception; scene classification
Radar-based segmentation; ground echo model; short-sensing radar; perception; scene classification
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
