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New approaches to topography estimation using interferometric SAR images.

机译:使用干涉SAR图像进行地形估计的新方法。

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摘要

Topographic information is vital for a wide range of environmental sciences, such as geology, hydrology, and global climate change research. Interferometric synthetic aperture radar (INSAR) presents a new technology for performing high resolution topographic mapping. Compared with other elevation mapping technologies, INSAR has the advantages of all-weather capability and high resolution.; This thesis investigates several issues in the elevation mapping process for interferometric SAR. Among the factors critical to mapping accuracy are registration of the interfering SAR images and phase unwrapping. A novel registration algorithm is developed which determines the registration parameters through an optimization process. A new measure of merit is proposed to evaluate the registration result during the optimization. The phase unwrapping problem is solved through fringe line detection that prevents error propagation and produces negligible local errors. An edge segment linking algorithm and a curve fitting algorithm are developed, and their performances compared. To better understand the relationship between phase difference and surface elevation, a geometric model is derived. The model shows that the phase difference consists of contributions from a flat surface and from terrain elevation fluctuations with respect to the flat surface. Further, an iterative algorithm is developed to solve for the ground range position and the elevation of each surface point simultaneously. In addition, this research studies the evaluation of SAR elevation mapping accuracy. The accuracy is determined by comparing SAR elevation estimates with a digital elevation map (DEM) of the same area. A method of registering interferometric SAR data with a DEM is developed using a phase difference image simulated from the DEM according to the SAR imaging geometry. The layover effect and its correction are also explored.; Test results of the algorithms are shown using actual interferometric SEASAT SAR images over large relief terrain near Yellowstone National Park with a short baseline, and over relatively flat terrain in the Death Valley of California with a long baseline. Comparison between the elevation estimated from INSAR data with a USGS digital elevation map obtained using stereo photogrammetry is made for the first time, and results show a better agreement than other SAR elevation mapping techniques.
机译:地形信息对于广泛的环境科学至关重要,例如地质,水文学和全球气候变化研究。干涉式合成孔径雷达(INSAR)提出了一种用于执行高分辨率地形图的新技术。与其他高程图技术相比,INSAR具有全天候能力强和分辨率高的优点。本文研究了干涉SAR海拔标绘过程中的几个问题。对映射精度至关重要的因素包括干扰SAR图像的配准和相位展开。开发了一种新颖的注册算法,该算法通过优化过程确定注册参数。在优化过程中,提出了一种新的评价指标,用于评估配准结果。相位展开问题通过边缘线检测得以解决,该边缘检测可防止错误传播并产生可忽略的局部错误。提出了边缘段链接算法和曲线拟合算法,并对其性能进行了比较。为了更好地理解相位差和表面高程之间的关系,导出了几何模型。该模型表明,相位差由平坦表面的贡献和相对于平坦表面的地形高程波动组成。此外,开发了一种迭代算法来同时求解地面范围位置和每个表面点的高程。此外,本研究还研究了SAR高程测绘精度的评估。通过将SAR高程估计值与相同区域的数字高程图(DEM)进行比较来确定精度。根据SAR成像几何结构,使用从DEM模拟的相位差图像,开发了一种将DEM干涉仪SAR数据注册的方法。还探讨了停留效应及其校正。使用实际干涉式SEASAT SAR图像,在基线较短的黄石国家公园附近的大型起伏地形上,以及基线较长的加利福尼亚死亡谷的相对平坦的地形上,显示了算法的测试结果。首次进行了从INSAR数据估计的高程与使用立体摄影测量获得的USGS数字高程图之间的比较,结果显示比其他SAR高程图技术更好的一致性。

著录项

  • 作者

    Lin, Qian.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Engineering Electronics and Electrical.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 1992
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;遥感技术;
  • 关键词

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