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Iceberg detection using COSMO-SkyMed satellite constellation images

机译:使用COSMO-SKEDMED卫星星座图像的冰山检测

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The new constellation of COSMO -SkyMed (CSK) satellites, which carry on board a SAR-X instrument, offers a unique opportunity for the study of sea ice distribution in polar regions and for the detection of drifting icebergs. To exploit this new class of SAR images, a specific processing scheme, consisting of 4 sequential blocks, was developed. The 4 blocks perform: i) ingestion of the raw image into a commercial software for precise geo-location; ii) extraction from the full scene of image subsets containing iceberg infested areas; iii) speckle filtering; iv) segmentation by different algorithms taken from a "free and open source software" (FOSS) library. The results of the application of this processing scheme to a CSK image of Antarctica containing icebergs are presented and discussed.
机译:Cosmo -skymed(CSK)卫星的新星座携带船上的SAR-X仪器,为极地地区的海冰分布进行了独特的机会,并检测漂流冰山。为了利用这类新的SAR图像,开发了由4个顺序块组成的特定处理方案。 4个块执行:i)将原始图像摄入到商业软件中,以精确地地理位置; ii)从包含冰山侵染区域的图像子集的完整场景提取; iii)斑点过滤; iv)由“自由和开源软件”(FOSS)库中采取的不同算法的分割。提出并讨论了将该处理方案应用于含有冰山的南极洲的CSK图像的结果。

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