Reorganization of the Sea- Ice Floes and Floe Size Distributions

Vaibhav A. Desale


In early days for the study of the ice which was situated on the
sea on the poles or at low temperature places an unmanned
aerial vehicle was used for capturing images. The vehicle was
able to capture the images of sea ice floes and by using the
such images and by applying several image processing
algorithm important information was collected. The
information extracted is very useful statics for the climate and
wave. But difficult problems are challenge of the
identification of ice floe, mainly the separation of the ice
floes. For this paper GVF algorithm is used mainly to solve
the above difficulties. Given GVF algorithm is based on the
distance transform propose for detecting the separate and
individual ice-floe on the sea and after that morphological
cleaning is applied to that detected individual ice-floe along
with the GVF also OTSU algorithm is used for calculating
results and canny edge detection for detecting boundaries.
This result was being helpful for classifying the image into the
four classification like ice floes, brash pieces, slush and water.
By using this algorithm it was made possible to make the
color maps for the given ice floe, brash pieces. Study made
acceptable information and results and also the effectiveness.

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W. Peter, Ice in the Ocean. New York, NY, USA: Taylor

& Francis,2000.

C. Xu and J. L. Prince, “Snakes, shapes, and gradient

vector flow,” IEEETrans. Image Process., vol. 7, no. 3,

pp. 359–369, Mar. 1998.

Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new

N. Otsu, “A threshold selection method from gray-level

histograms,”Automatica, vol. 11, no. 285–296, pp. 23–

, 1975.

L.-K. Soh, C. Tsatsoulis, and B. Holt, “Identifying ice

floes and computingice floe distributions in SAR

images,” in Analysis of SAR Data of the Polar Oceans.

Berlin, Germany: Springer-Verlag, 1998, pp. 9–34.

P. Lu, Z. Li, Z. Zhang, and X. Dong, “Aerial

observations of floesize distribution in the marginal ice

zone of summer Prydz Bay,”J. Geophys. Res., Oceans,

vol. 113, no. C2, pp. C02011-1–C02011-11, Feb. 2008.


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