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首页> 外文会议>Image and signal processing for remote sensing XVII >Comparison of using single- or multi-polarimetric TerraSAR-X images for segmentation and classification of man-made maritime objects
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Comparison of using single- or multi-polarimetric TerraSAR-X images for segmentation and classification of man-made maritime objects

机译：使用单极化或多极化TerraSAR-X图像对人造海洋物体进行分割和分类的比较

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摘要

Spaceborne SAR imagery offers high capability for wide-ranging maritime surveillance especially in situations, where AIS (Automatic Identification System) data is not available. Therefore, maritime objects have to be detected and optional information such as size, orientation, or object/ship class is desired. In recent research work,1 we proposed a SAR processing chain consisting of pre-processing, detection, segmentation, and classification for single-polarimetric (HH) TerraSAR-X StripMap images to finally assign detection hypotheses to class "clutter", "non-ship", "unstructured ship", or "ship structure 1" (bulk carrier appearance) respectively "ship structure 2" (oil tanker appearance). In this work, we extend the existing processing chain and are now able to handle full-polarimetric (HH, HV, VH, VV) TerraSAR-X data. With the possibility of better noise suppression using the different polarizations, we slightly improve both the segmentation and the classification process. In several experiments we demonstrate the potential benefit for segmentation and classification. Precision of size and orientation estimation as well as correct classification rates are calculated individually for single- and quad-polarization and compared to each other.
机译：星载SAR图像为广泛的海上监视提供了强大的功能，尤其是在没有AIS（自动识别系统）数据的情况下。因此，必须检测海上物体，并且需要诸如大小，方向或物体/船级的可选信息。在最近的研究工作中1，我们提出了一个SAR处理链，包括对单极化（HH）TerraSAR-X StripMap图像的预处理，检测，分割和分类，以最终将检测假设分配给“杂波”，“非杂波”类。船舶”，“非结构化船舶”或“船舶结构1”（散货船外观）或“船舶结构2”（油轮外观）。在这项工作中，我们扩展了现有的处理链，现在能够处理全极化（HH，HV，VH，VV）TerraSAR-X数据。使用不同的极化可能会更好地抑制噪声，因此我们会稍微改善分割和分类过程。在几个实验中，我们证明了细分和分类的潜在好处。分别针对单极化和四极化计算尺寸和方向估计的精度以及正确的分类率，并将其相互比较。

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