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  • 标题:Active Contour Model to Detect Linear Features in Satellite Images
  • 本地全文:下载
  • 作者:M.R.D. Rocca ; M. Fiani ; A. Fortunato
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2004
  • 卷号:XXXV Part B3
  • 页码:446-450
  • 出版社:Copernicus Publications
  • 摘要:Active contour models are used extensively in image processing applications, including edge detection, shape modelling, segmenta- tion and in general to detect object boundaries. They are curves defined in the image domain that can move under the influence of in- ternal forces within the curve itself and external forces derived from the image data. Many versions and improvements have been proposed since then, in an effort to improve on several aspects of the original finite difference implementation. We present preliminary results of a wavelet based active contour model for detecting linear features in satellite images The method combines multi-scale decomposition and edge detection in a fast-converging iterative scheme. As an application, coastline retrieval from a SAR image is illustrated
  • 关键词:Remote Sensing; Extraction; Detection; Algorithms; Features; Satellite; Segmentation
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