L. Zheng et al., Directional clutter removal of aerial digital images using X-ray wavelet transform and Markov random field, IEEE GEOSCI, 37(5), 1999, pp. 2181-2191
Citations number
24
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Aerial image is one of the primary data sources for underwater oceanographi
c studies, These images are often corrupted by clutters induced by surface
water waves, Removal of the wave clutters from these images is an important
preprocessing step for accurate assessment of information. In this paper,
we introduce a novel technique combining the X-ray wavelet transform (XWT)
with Markov random field (MRF) for directional noise removal. Surface water
waves are classified according to their features into two types: ripple wa
ve (longwave) and spark wave (short-wave). We show in our numerical experim
ents that by performing XWT along the direction of wave propagation, the wa
ve clutters can be successfully detected. To remove long-waves, resampling
and subband filtering techniques are used. To remove short-waves, on the ot
her hand, spectral-spatial maximum exclusive mean (SMEM) filter is used in
this study. Finally, because of the directional characteristic of the clutt
ers, nonisotropic MRF is introduced into the post-processing step to refine
the output. Experimental results show that one can remove both kinds of wa
ve clutters with only small background distortion using the proposed hybrid
algorithm.