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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 40, NO. 2, FEBRUARY 2002 405 Cloud Tracking by Scale Space Classification
 

Summary: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 40, NO. 2, FEBRUARY 2002 405
Cloud Tracking by Scale Space Classification
Dipti Prasad Mukherjee and Scott T. Acton, Senior Member, IEEE
Abstract--The problem of cloud tracking within a sequence of
geo-stationary satellite images has direct relevance to the analysis
of cloud life cycles and to the detection of cloud motion vectors
(CMVs). The proposed approach first identifies a homogeneous
consistent cloud mass for tracking and then establishes motion cor-
respondence within an image sequence. In contrast to the cross-
correlation based approach as adopted in automatic CMV detec-
tion analysis, a scale space classifier is designed to detect cloud
mass in the source image taken at time t and the destination image
at time + . Boundaries of the extracted cloud segments are
matched by computing a correspondence between high curvature
points. This shape based method is capable of tracking in the cases
of rotation, scaling, and shearing, while the correlation technique
is limited to translational motion. The final tracking results pro-
vide motion magnitude and direction for each contour point, al-
lowing reliable estimation of meteorological events and wind veloc-
ities aloft. With comparable computational expense, the scale space

  

Source: Acton, Scott - Department of Electrical and Computer Engineering, University of Virginia

 

Collections: Computer Technologies and Information Sciences