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

机译:南极合成孔径雷达图像中冰山的识别和分析技术

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摘要

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.
机译:本文介绍了一种图像分析技术,该技术旨在识别南极洲合成孔径雷达图像中描绘的冰山,并确定这些冰山的轮廓。该技术使用像素绑定过程来描绘冰山的边缘。然后通过边缘引导的图像分割过程将它们与背景水和海冰分离。为每个冰山分段计算诸如质心位置和冰山面积之类的特征,并将其放置在文件中,以输入到适当的统计数据分析软件中。该技术已在三个ERS-1 SAR子图像上进行了测试,在该图像中,它成功地识别了几乎所有包含6像素或更大尺寸冰山的片段。首先将图像通过平均滤波器以减少斑点。此过程产生的像素大小为100 m x 100 m。实施后,该技术平均高估了冰山面积约20%,对于尺寸小于6个像素的冰山,检测率会迅速下降。当基于像素强度的更详细分析而实施其他阶段时,有望提高这些区域的性能。

著录项

  • 作者

    Williams R; Rees G; Young ND;

  • 作者单位
  • 年度 1999
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  • 原文格式 PDF
  • 正文语种 en
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