A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data

Donna Haverkamp, Leen-Kiat Soh, Costas Tsatsoulis

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

This paper documents an approach to sea ice classification through a combination of methods, both algorithmic and heuristic. The resulting system is a comprehensive technique, which uses dynamic local thresholding as a classification basis and then supplements that initial classification using heuristic geophysical knowledge organized in expert systems. The dynamic local thresholding method allows separation of the ice into thickness classes based on local intensity distributions. Because it utilizes the data within each image, it can adapt to varying ice thickness intensities to regional and seasonal charges and is not subject to limitations caused by using predefined parameters.

Original languageEnglish (US)
Pages (from-to)46-57
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume33
Issue number1
DOIs
StatePublished - Jan 1 1995

Fingerprint

Sea ice
ice thickness
sea ice
synthetic aperture radar
heuristics
Ice
expert system
Expert systems
ice
method

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Cite this

A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data. / Haverkamp, Donna; Soh, Leen-Kiat; Tsatsoulis, Costas.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 33, No. 1, 01.01.1995, p. 46-57.

Research output: Contribution to journalArticle

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