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A Technique for the Identification and Analysis of Icebergs in Synthetic Aperture Radar Images of Antarctica

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Williams, R and Rees, G and Young, ND (1999) A Technique for the Identification and Analysis of Icebergs in Synthetic Aperture Radar Images of Antarctica. International Journal of Remote Sensing, 20 (15-16). pp. 3183-3199.

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Abstract

This paper describes an image analysis technique developed to identify icebergs depicted in synthetic aperture radar images of Antarctica and to determine the outlines of these icebergs. The technique uses a pixel bonding process to delineate the edges of the icebergs. It then separates them from the background water and sea ice by an edge-guided image segmentation process. Characteristics such as centroid position and iceberg area are calculated for each iceberg segment and placed in a file for input to appropriate statistical data analysis software. The technique has been tested on three ERS-1 SAR sub-images in which it succeeded in identifying virtually all segments containing icebergs of size 6 pixels or larger. The images were first passed through an averaging filter to reduce speckle. This process produced a pixel size of 100 m x 100 m. As implemented, the technique over-estimates iceberg areas by about 20% on average and the detection rate falls off rapidly for icebergs less than six pixels in size. Performance in these areas is expected to improve when additional stages, based on a more detailed analysis of pixel intensity, are implemented.

Item Type: Article
Keywords: icebergs, synthetic aperture radar, image analysis, Antarctic images
Journal or Publication Title: International Journal of Remote Sensing
Page Range: pp. 3183-3199
Additional Information: This is a preprint of an article whose final and definitive form has been published in the INTERNATIONAL JOURNAL OF REMOTE SENSING (c) 1999; INTERNATIONAL JOURNAL OF REMOTE SENSING is available online at: http://journalsonline.tandf.co.uk/
Date Deposited: 23 Aug 2006
Last Modified: 18 Nov 2014 03:11
URI: http://eprints.utas.edu.au/id/eprint/373
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