Title :
Skeletal modeling of ice leads
Author_Institution :
Dept. of Math. Sci., Montana State Univ., Bozeman, MT, USA
fDate :
9/1/1992 12:00:00 AM
Abstract :
A morphological, model-based method for the automatic identification of ice leads is presented. The morphological model is based on skeletons, a tool from mathematical morphology that provides a structural description of ice lead shape. The model provides a significant reduction in the space needed to store an image with virtually no loss of morphological information. To illustrate the use of skeletons, various lead statistics, such as length and area, are calculated from lead skeletons and used to assess the effect of image smoothing and thresholding
Keywords :
geophysics computing; image processing; oceanographic techniques; remote sensing by radar; sea ice; area; automatic identification; ice leads; image smoothing; image storage space; lead statistics; length; model-based method; morphological model; radar remote sensing; structural description; thresholding; Data compression; Image storage; Mathematical model; Morphology; Sea ice; Sea measurements; Shape; Skeleton; Smoothing methods; Statistics;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
