论文标题
图像重量表：一种新的遥感方法用于地球物理学的重力分析
Image Gravimetry: A New Remote Sensing Approach for Gravity Analysis in Geophysics
论文作者
论文摘要
在本文中，提出了一种新的地球物理重量法，该方法基于遥感中的卫星图像。该方法使用卫星图像，以及图像中的一组点，其重力值已知。基于模板的球形样条插值方法用于构成方程系统，以在图像中的其他点找到重力值。为伊朗的QOM地区提出了一项实际案例研究。重力值是从该区域的Landsat卫星图像确定的，使用其重力值已知的图像中的9个点。也为该区域计算了基于卫星重量法的系数的参考椭圆形重力值。从Landsat图像得出的重力值与参考椭圆形的重力值之间的比较表明，结果的标准偏差约为6.71 milli gal，最大差异为35毫米加仑。
In this paper a new Geophysical gravimetry approach is presented, which is based on satellite imagery in remote sensing. The method uses a satellite image, together with a set of points in the image the gravity values of which are known. Template-based spheroidal spline method of interpolation is used to constitute a system of equations to find the values of gravity at other points in the image. A real case study is presented for the Qom region in Iran. Values of gravity are determined from the Landsat satellite image for this region, using 9 points in the image whose gravity values are known. Reference ellipsoid gravity values, which are based on coefficients derived from satellite gravimetry, are computed for this region, as well. Comparison between gravity values derived from Landsat image and those from reference ellipsoid shows that the standard deviation of the results is around 6.71 milli Gal, with the maximum of differences being 35 milli Gal.
