点源像点提取精度及其对几何定标影响分析
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摘要
传统地面控制点影像的像点测量误差较大,制约了传感器几何定标结果的精度.基于图像退化理论生成不同噪声条件下模拟退化点源影像并解算点源像点位置,比较了不同噪声条件下点源像点位置解算误差.实验结果表明:点源像点位置解算精度随噪声增加而降低,但均优于传统控制点影像的像点测量精度.随后,检验了不同像点测量精度对几何定标结果的影响.利用多片前方交会求解地面点坐标,传统地面控制点平面和高程坐标的最大偏差可达0.25和0.75个地面采样间隔(GSD),而使用反射点源将最大偏差降至0.07和0.20个GSD,较好的提高了定位精度.根据实验结果,反射点源能够有效提高几何定标结果的精度,并有潜力发展成为新一代几何定标工具.
Pixel measurement error of traditional ground control point image is relatively large,which restricts the reliability of the sensor geometric calibration result.Based on the theory of image degradation,this paper generated the simulated degraded point source image under different noise conditions and solved the position of the point source image point,and compared the error of the point source image point location under different noise conditions.The experimental results show that the accuracy of point source image point location results decreases with increasing noise,but it is better than that of traditional control point.Subsequently,this paper examined the impact of different pixel measurement accuracy on geometric calibration results.Using multiple pieces of forward intersection to solve the ground point coordinates,the maximum deviation of the plane and elevation coordinates of the traditional ground control point can reach 0.25 and 0.75 GSD,while using the reflection point source to reduce the maximum deviation to 0.07 and 0.20 GSD,which better improves positioning accuracy.According to the experimental results,reflection point sources can effectively improve the accuracy of the geometric calibration results and has the potential to be developed into a new generation geo-metric calibration tool.
Pixel measurement error of traditional ground control point image is relatively large,which restricts the reliability of the sensor geometric calibration result.Based on the theory of image degradation,this paper generated the simulated degraded point source image under different noise conditions and solved the position of the point source image point,and compared the error of the point source image point location under different noise conditions.The experimental results show that the accuracy of point source image point location results decreases with increasing noise,but it is better than that of traditional control point.Subsequently,this paper examined the impact of different pixel measurement accuracy on geometric calibration results.Using multiple pieces of forward intersection to solve the ground point coordinates,the maximum deviation of the plane and elevation coordinates of the traditional ground control point can reach 0.25 and 0.75 GSD,while using the reflection point source to reduce the maximum deviation to 0.07 and 0.20 GSD,which better improves positioning accuracy.According to the experimental results,reflection point sources can effectively improve the accuracy of the geometric calibration results and has the potential to be developed into a new generation geo-metric calibration tool.
引文
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[17]HUANG C,TOWNSHEND J R G,Liang S,et al.Impact of sensor's point spread function on land cover characterization:Assessment and deconvolution[J].Remote Sensing of Environment,2002,80(2):203-212.
[18]徐伟伟,张黎明,陈洪耀,等.基于反射点源的高分辨率光学卫星传感器在轨辐射定标方法[J].光学学报,2017,37(3):333-340.XU Weiwei,ZHANG Liming,CHEN Hongyao,et al.In-flight radiometric calibration of high resolution optical satellite sensor using reflected point source[J].Acta Optica Sinica,2017,37(3):333-340.
[2]唐新明,张过,祝小勇,等.资源三号测绘卫星三线阵成像几何模型构建与精度初步验证[J].测绘学报,2012,41(2):191-198.TANG Xinming,ZHANG Guo,ZHU Xiaoyong,et al.Triple linear-array imaging geometry model of Ziyuan-3surveying satellite and its validation[J].Acta Geodaetica et Cartographica Sinica,2012,41(2):191-198.
[3]谌一夫.卫星三线阵TDI CCD传感器在轨标定研究[D].武汉:武汉大学,2012:61-72.CHEN Yifu.Research on on-orbit calibration of satellite’s three-line-array TDI CCD sensors[D].Wuhan:Wuhan University,2012:61-72.
[4]李少峰,张建霞,刘保还.数字摄影测量像点量测精度检测方法研究[J].测绘技术装备,2014,16(3):25-28.LI Shaofeng,ZHANG Jianxia,LIU Baohuan.Study on measurement methods of digital photogrammetric image measurement accuracy[J].Geomatics Technology and Equipment,2014,16(3):25-28.
[5]卜丽静,张过,张正鹏.基于角反射器成像点的SAR图像PSF估计方法[J].中国矿业大学学报,2015,44(6):1134-1139.BU Lijing,ZHANG Guo,ZHANG Zhengpeng.PSFestimation method based on corner reflector imaging points in SAR image[J].Journal of China University of Mining&Technology,2015,44(6):1134-1139.
[6]RAUCHMILLER R F J,SCHOWENGERDT R A.Measurement of the Landsat thematic mapper modulation transfer function using an array of point sources[J].Optical Engineering,1988,27(4):334-343.
[7]RANGASWAMY M K.Quickbird II:two-dimensional on-orbit modulation transfer function analysis using convex mirror array[D].South Dakota State University,2003:70-74.
[8]JEMEC J,PERNUS F,LIKAR B,et al.2Dsub-pixel point spread function measurement using a virtual point-like source[J].International Journal of Computer Vision,2017,121(3):1-12.
[9]徐伟伟,张黎明,司孝龙,等.基于反射点源的高分辨率光学卫星传感器在轨调制传递函数检测[J].光学学报,2017,37(7):298-305.XU Weiwei,ZHANG Liming,SI Xiaolong,et al.Onorbit MTF estimation of high resolution satellite optical sensor using reflected point sources[J].Acta Optica Sinica,2017,37(7):298-305.
[10]ZHANG B,ZERUBIA J,OLIVOMARIN J C.Gaussian approximations of fluorescence microscope point-spread function models[J].Applied Optics,2007,46(10):1819-1829.
[11]XU C,LIU Z,HOU G.Simulation of the impact of a sensor’s PSF on mixed pixel decomposition:Nonuniformity effect[J].Remote Sensing,2016,8(5):437-442.
[12]PADGETT R,KOTRE C J.Development and application of programs to measure modulation transfer function,noise power spectrum and detective quantum efficiency[J].Radiation Protection Dosimetry,2005,117(1/3):283-295.
[13]EHSAN S,FLYNN M J,REIMANN D A.A method for measuring the presampled MTF of digital radiographic systems using an edge test device[J].Medical Physics,1998,25(1):102-113.
[14]王海涌,费峥红,王新龙.基于高斯分布的星像点精确模拟及质心计算[J].光学精密工程,2009,17(7):1672-1677.WANG Haiyong,FEI Zhenghong,WANG Xinlong.Precise simulation of star spots and centroid calculation based on Gaussian distribution[J].Optics and Precision Engineering,2009,17(7):1672-1677.
[15]陈怡羽,郭强.中短波红外恒星定标点扩散函数求解及精度分析[J].遥感技术与应用,2017,32(1):158-165.CHEN Yiyu,GUO Qiang.A precise way to estimate PSF and analyze its accuracy in medium-wave infrared calibration with star[J].Remote Sensing Technology and Application,2017,32(1):158-165.
[16]高慧婷,刘薇,何红艳.基于点源阵列的星载面阵CMOS相机静态PSF测量[J].航天返回与遥感,2017,38(1):53-60.GAO Huiting,LIU Wei,HE Hongyan.Static PSFmeasurement method of satellite borne area CMOScamera with point array[J].Spacecraft Recovery&Remote Sensing,2017,38(1):53-60.
[17]HUANG C,TOWNSHEND J R G,Liang S,et al.Impact of sensor's point spread function on land cover characterization:Assessment and deconvolution[J].Remote Sensing of Environment,2002,80(2):203-212.
[18]徐伟伟,张黎明,陈洪耀,等.基于反射点源的高分辨率光学卫星传感器在轨辐射定标方法[J].光学学报,2017,37(3):333-340.XU Weiwei,ZHANG Liming,CHEN Hongyao,et al.In-flight radiometric calibration of high resolution optical satellite sensor using reflected point source[J].Acta Optica Sinica,2017,37(3):333-340.