摘要
为了精化星载SAR影像几何参数并提高立体定位精度,借鉴星载激光测高数据光学遥感影像高程控制点提取思路,设计了一种多策略高级地形激光测高系统(ATLAS)数据优选与影像匹配相结合的SAR高程控制点提取方法。该方法采用非夜间观测光子滤除、高置信度光子选取、SRTM DEM辅助的粗差剔除、大偏心率椭圆滤波核平坦区域光子筛选等多种策略,从ATLAS数据ATL03级产品中提取高质量、平坦区域的激光高程点,再依据SRTM DEM对斜距SAR影像进行地理编码,按激光高程点的平面坐标选取局部谷歌地球影像作为足印影像,采用秩自相似描述子进行足印影像与SAR地理编码影像的匹配,得到与激光高程点对应的SAR影像像点坐标,从而提取SAR高程控制点。采用中国登封市、日本横须贺市两个区域的ATLAS数据进行了高分三号SAR高程控制点提取实验,利用提取的高程控制点进行SAR影像几何参数精化,大幅提升了立体定位精度,验证了该文高程控制点提取方法的可行性和有效性。
To refine the geometric parameters of satellite-based SAR images and improve the stereo positioning accuracy,a method of SAR elevation control point extraction combining multistrategy ATLAS data preference and image matching has been developed.This method is based on the concept of optical remote sensing image elevation control point extraction from satellite-based laser altimetry data.The method employs various strategies,such as non-night observation photon filtering,high confidence photon selection,SRTM DEM-assisted coarse difference rejection,and large eccentricity elliptical filtering kernel flat area photon screening.To extract laser elevation points with high quality and flat area from ATLAS data for ATL03 level products.Then the geocoding of the slant range SAR images is performed using the SRTM DEM.The local Google Earth images are selected as the footprint images according to the plane coordinates of the laser elevation points.The rank self-similarity descriptor is used to match the footprint images with the SAR geocoded images.The coordinates of the SAR images corresponding to the laser elevation points are obtained.Thus,SAR elevation control points are extracted.The extraction of GF-3 SAR elevation control points was performed using ATLAS data from two regions:Dengfeng,China,and Yokosuka,Japan.The geometric parameter refinement of SAR images using extracted elevation control points significantly improved the accuracy of stereo positioning and verified that the method for extracting elevation control points described in this paper is feasible and effective.
作者
余洋
靳国旺
熊新
童成功
张国平
YU Yang;JIN Guowang;XIONG Xin;TONG Chenggong;ZHANG Guoping(Institute of Geospatial Information,Information Engineering University,Zhengzhou 450001,China)
出处
《雷达学报（中英文）》
EI
CSCD
北大核心
2023年第1期64-75,共12页
Journal of Radars
基金
国家自然科学基金(41474010,61401509)
河南省自然科学基金(182300410007)。
关键词
合成孔径雷达
高分三号
冰、云和陆地高程卫星-2
有理函数模型
定位
Synthetic Aperture Radar(SAR)
GF-3
The Ice
Cloud and land Elevation Satellite-2(ICESat-2)
Rational Polynomial Coefficients(RPC)model
Positioning
