从单幅雷达影像提取地面高程信息

Extraction of the Elevation from Single SAR Image

  • 摘要: 对目前存在的两种从雷达影像提取地面高程信息的方法进行了分析和评述,提出了用雷达测角从单幅雷达影像来获得地面高程信息的方法。该方法通过对雷达成像模型的分析,采用兰伯特平面来模拟地表面,并以此建立起后向散射模型,在模型已有的数学关系基础上推导出每点的高程增量表达式。然后运用积分对得到的高程增量进行求和来计算地面高程信息。但这样直接得到的结果较为粗糙(主要受到雷达斑点噪声和方位向不连续性的干扰),因此又提出用多行多个方向积分来消除雷达斑点噪声干扰的方法。最后为了进一步改善结果,引进模拟退火算法来进一步进行后处理,得到了满意的效果。

     

    Abstract: Wi th the development of spatial technology, computer technology and photo-electricity technique,microwave remote sensing becomes one of the advanced fields of remote sensing.Many countries invest a lot to develop SAR(Synthetic Aperture Radar) which possesses the ability of penetrability and can acquire data in all-weather and all-time. Topographic information is important in many geographic applications.Synthetic Aperture Radar (SAR) is a kind of imaging radar capable of producing high-resolution images in all weather and all-day conditions.But it usually needs image pair or more images to generate DEM from SAR imagery, such as interferometric SAR (InSAR) and radargrammetry.The imaging conditions (look-angle, space baseline, for acquiring the image pair sometimes are very difficult. SAR is a side-looking imaging mode and its image is very sensitive to the terrain shape.The tittle undulation of the terrain may induce the change of the image gray distribution and/or the texture characteristics.In this paper, the radarclinometry for extracting the earth elevation from only single SAR image is investigated,which is based on the shape-from-shading principle developed in computer vision.Firstly, the approaches for generation of the digital terrain elevation from the SAR image data are discussed.Secondly, the method of radarclinometry will be briefly described.The elevation reconstruct ion relies on a Lambertian assumption for the terrain backscatter model.Then a single-line integral process is applied to calculate each pixel altitude, but it is still contaminated by noise.Finally, the multi-line integral processing with various directions and the simulated annealing algorithm are respectively introduced to improve the single-line integral processing result.The presented experiment results are promising in many geographic applications.

     

/

返回文章
返回