Generation of geometrically and radiometrically terrain corrected SAR image products
Generation of geometrically and radiometrically terrain corrected SAR image products
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DOI：
10.1016/j.rse.2006.09.002
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发表时间：
2007-02
影响因子：
13.5
通讯作者：
A. Loew;W. Mauser
中科院分区：
文献类型：
--
作者：
A. Loew;W. Mauser
地形起伏影响合成孔径雷达图像的几何和辐射质量。这些影响的校正变得必不可少的定量图像分析时，进行相对于推导的地质和生物物理参数。提出了一种严格的SAR图像几何校正和辐射校正方法。使用数字高程模型，重建成像几何形状，并用于执行几何和辐射校正的地形引起的失真。强调了基于图像亮度积分的严格辐射校正的重要性。该方法保证了图像数据中包含的能量在整个地理编码过程中得到保留。由此产生的后向散射图像完全经过地形校正，可用于进一步的定量调查，也可改进定性研究，例如土地覆盖分类。该技术适用于不同的传感器类型和图像产品，包括已经地理编码的SAR图像。研究了不同分辨率的数字高程模型对后向散射系数修正的影响。
Terrain undulations affect the geometric and radiometric quality of synthetic aperture radar images. The correction of these effects becomes indispensable when quantitative image analysis is performed with respect to the derivation of geo- and biophysical parameters. The paper presents a rigorous approach for geometric and radiometric correction of SAR images. Using a digital elevation model, the imaging geometry is reconstructed and is used to perform geometric and radiometric correction of terrain induced distortions. The importance of a stringent radiometric correction based on the integration of the image brightness is emphasized. The approach guarantees that the energy contained in the image data is preserved throughout the geocoding process. The resulting backscattering images are fully terrain corrected and can be used for further quantitative investigations and may also improve qualitative studies as e.g. land cover classifications. The technique is applicable for different sensor types and image products, including already geocoded SAR images. The effect of different resolutions of digital elevation models used for the correction of the backscattering coefficient is investigated.