摘要
遥感信息质量提升是高分辨率遥感定量化发展的基础和追求目标.本文提出了一种从成像系统源端提升遥感信息质量的新方法,实现了地学-光电参量的相互转换,通过连续调整成像传感器光电参量使得地物观测影像误差最小化,即提升遥感信息质量.具体是通过外场定标实验获得的影像DN值,利用地物L的校正模型DN=kL+g,调整光电参量使得真实拟合系数k逼近1和偏差g逼近0,此时影像DN值接近地物真值L.进一步地,当k偏离1, g偏离0时,地物观测误差增大,仪器退化.然后根据光电参量分解方程可得到仪器退化的具体部件,得以跟踪仪器性能并进行改进.以此建立的地学-光电参量转换遥感成像载荷品质度量、研发新机制,建立地表参量与成像系统光电参量有效关联,从光电成像系统源头破解遥感成像误差难以等效度量的难题.理论和实验证明其有效可行.
The improvement of spatial information quality is the basis and goal of the quantitative development of high-resolution remote sensing. This paper presents a new method for improving the quality of the remote sensing information obtained from the source of an imaging system;this method also realizes the mutual conversion of the geoscience and optical parameters. By continuously adjusting the photoelectric parameters of the imaging sensor, it was possible to minimize the observation error of the terrestrial object observation image. By adjusting the photoelectric physical parameters of the instrument, the quality of the remote sensing information was improved. The image digital number(DN) value obtained by field calibration experiments was used to adjust the photoelectric parameters by using the correction model DN=k L+g of the ground object L. When the real fitting coefficient k approached 1, and the deviation g approached 0, the image DN value approached the real value L of the ground object. Furthermore, when k deviated from 1 and g from 0, the observation error increased, and the instrument degenerated. The deteriorated components of the instrument could be obtained using the photoelectric parametric decomposition equation, which can be used to verify the quality of the instrument and to improve the quality of spatial information. The new mechanism for measuring the load quality of the remote sensing imaging based on the geo-optoelectronic parameter conversion and penetration can overcome the technical bottleneck of non-correlation between the surface parameters and photoelectric parameters of the imaging system. This mechanism solves the difficulty involved in measuring the remote sensing imaging error equivalently from the source of the photoelectric imaging system. The theory and experiment proved that the mechanism was effective and feasible.
作者
晏磊
姜凯文
樊邦奎
郑玉泉
王明志
勾志阳
胡秀清
左正康
付瑜
赵红颖
YAN Lei;JIANG KaiWen;FAN BangKui;ZHENG YuQuan;WANG MingZhi;GOU ZhiYang;HU XiuQing;ZUO ZhengKang;FU Yu;ZHAO HongYing(Spatial In formation Integration and 3S Engineering Application Beijing Key Laboratory,Institute of Remote Sensing and Geographic Information System,Peking University,Beijing 100871,China;Beijing Institute of Information Technology,Beijing 100094,China;Changchun Institute of Optical Precision Machinery and Physics,Chinese Academy of Sciences,Changchun 130033,China;Guangxi Colleges and Universities Key Laboratory of Unmanned Aerial Vehicle(UAV)Remote Sensing.Guilin University of Aerospace Technology,Guilin 541004,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100190,China;Beijing Pudaditai Technology Co.Ltd.,Beijing 100089,China;National Satellite Meteorological Center,Beijing 100081,China)
出处
《中国科学：技术科学》
EI
CSCD
北大核心
2021年第1期65-77,共13页
Scientia Sinica(Technologica)
基金
国家重点研发计划(编号:2017YFB0503003)
高等学校博士学科点专项科研基金(编号:20130001110046)
高端外国专家项目(编号:GDW20131100006)
国家高技术研究发展计划(“863”计划)(编号:2008AA121806)资助项目。
关键词
遥感信息质量
地学-光电参量转换
传感器
外场定标
观测误差
仪器退化
remote sensing information quality
geoscience-photoelectric parametric conversion
sensors
outfield calibration
observation error
instrument degradation
