Abstract
Previously reported results for the statistical mechanics description of sea ice imagery are applied to the calculation of paths of least cost from an origin to a destination. Key steps in the process are the identification of ice type in terms of the correlation of textural and structural information, the use of local networks to obtain consensus as to a local ice type, and the use of the length of these networks to estimate ice thickness. An Operations Research approach is employed to develop an energy-based cost function for a ship to move in the ice field between a specified origin and destination.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cole, D.M., 1986. Effect of grain size on the internal fracturing of polycrystalline ice, CRREL Report No. 86–5.
Duxbury, P.M. and Y. Li, 1990: Scaling theory of the strength of percolation networks. Disorder and Fracture (ed. J.C. Charmet, S. Roux, E. Guyon), NATO ASI Series, v235, Plenum.
Kerman, B.R., 1998a: A damage mechanics model for sea ice imagery. Gobal. Atmos. Ocean Sys., 6, 1–34.
Kerman, B.R., 1998b: Segmentation of sea ice imagery based on a scaling, Gibbs probability measure of similitude. Presented at Fractal 98, Valletta, Malta, Oct 25–28, In Fractals and Beyond: Complexities in the Sciences (ed. M.N. Novak), World Scientific, Singapore.
Kerman, B.R., 1998c: On the relationship of pack ice thickness to the length of connectivity trees in SAR imagery. Proc. 14th Int. Sympos. on Ice, Ice in Surface Waters, vol 2, (H.T. Shen, ed.), 811–819, Clarkson Univ., Potsdam, N.Y.
Kerman, B.R., 1999: Information states in sea ice imagery. IEEE Trans. Geoscience Remote Sens., 37(3), 1435–1446.
Kerman, B.R. and K. Johnson, 1998: Properties of a probability measure for sea ice imagery. Global Atmos. Ocean Sys., 6, 35–92.
Kerman, B. R., P. Wadhams, N. Davis and J. Comiso, 1999: Informational equivalence between SAR imagery and the thickness of Arctic pack ice. J. Geophys. Res., 104(C12), 29721–29731.
Palmer, A.C. and Sanderson, T.J.O., 1991: Fractal crushing of ice and brittle solids, Proc. Roy. Soc. London, A433, 469–477.
Pesin, Y. and H. Weiss, 1997: The multifractal analysis of Gibbs measures: Motivation, mathematical foundation and examples. Chaos, 7(1), 89–106.
Ritch, A., St John, J.W. and Browne, R., 1997. Ice load impact measurements on the CCGS Lous S. St-Laurant during the 1994 Arctic Ocean crossing: Analysis and conclusions, Transport Canada Report T8080–4-6051.
Sanderson, T.J.O., 1988: Ice Mechanics: Risks to Offshore Structures. Graham and Trotman. London
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Kerman, B. (2001). On Least Cost Paths Using Informational Properties of SAR Imagery of Sea Ice. In: Dempsey, J.P., Shen, H.H. (eds) IUTAM Symposium on Scaling Laws in Ice Mechanics and Ice Dynamics. Solid Mechanics and Its Applications, vol 94. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9735-7_40
Download citation
DOI: https://doi.org/10.1007/978-94-015-9735-7_40
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5890-4
Online ISBN: 978-94-015-9735-7
eBook Packages: Springer Book Archive