wradlib.clutter.filter_gabella¶
-
wradlib.clutter.
filter_gabella
(img, wsize=5, thrsnorain=0.0, tr1=6.0, n_p=6, tr2=1.3, rm_nans=True, radial=False, cartesian=False)¶ Clutter identification filter developed by [Gabella et al., 2002].
This is a two-part identification algorithm using echo continuity and minimum echo area to distinguish between meteorological (rain) and non- meteorological echos (ground clutter etc.)
Parameters: - img (array_like) –
- wsize (int) – Size of the window surrounding the central pixel
- thrsnorain (float) –
- tr1 (float) –
- n_p (int) –
- tr2 (float) –
- rm_nans (bool) – True replaces nans with Inf False takes nans into acount
- radial (bool) – True to use radial information only in
filter_gabella_a
. - cartesian (boolean) – True if cartesian data are used, polar assumed if False.
Returns: output (array) – boolean array with pixels identified as clutter set to True.
See also
filter_gabella_a
- the first part of the filterfilter_gabella_b
- the second part of the filterExamples