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TitleCharacterization of Hurricane Eyes in RADARSAT-1 Images with Wavelet Analysis
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorDu, Y; Vachon, P W
SourceCanadian Journal of Remote Sensing vol. 29, issue 4, 2003 p. 491-498,
Alt SeriesEarth Sciences Sector, Contribution Series 20043161
PublisherInforma UK Limited
Mediapaper; on-line; digital
File formatpdf
Subjectsremote sensing; RADARSAT-1; SAR imagery; Hurricane Eyes (HEs); hurricane dynamics; atmospheric processes; edge detection; wavelet analysis; reference ellipse
Illustrationssatellite images; tables
Released2014 06 02
AbstractStriking examples of RADARSAT-1 synthetic aperture radar (SAR) images of hurricanes have been acquired over the past few years. The images show, with high resolution, the imprint of these storms on the ocean surface roughness, including structures associated with atmospheric processes such as boundary layer rolls, and details associated with the eye of the storm. In this paper, an image processing procedure for quantitatively characterizing SAR images of hurricane eyes (HEs) is described. The procedure uses the edge detection properties of wavelet analysis to estimate the scale and area of HEs. Procedures are also introduced to determine a reference elliptical aspect ratio (ratio of the major axis to the minor axis), the average radar cross-section, the position of the centre point, and an elliptical index. All indices are measured quantitatively and objectively. Based upon a visual examination, the estimated characteristics of HEs are reasonable. It is hoped that provision of a universal characterization procedure for SAR images of HEs will promote the use of RADARSAT-1 SAR images for the study of hurricane morphology.

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