高分二号全色卫星影像大气校正  

Atmospheric Correction of Gaofen-2 Panchromatic Satellite Images

作　　者：郑杨 李正强 王思恒 马䶮 李凯涛 张玉环 刘振海 杨磊库[7] 侯伟真 顾浩然 李殷娜 姚前 何卓 Zheng Yang;Li Zhengqiang;Wang Siheng;Ma Yan;Li Kaitao;Zhang Yuhuan;Liu Zhenhai;Yang Leiku;Hou Weizhen;Gu Haoran;Li Yinna;Yao Qian;He Zhuo(Hainan Aerospace Information Research Institute,Sanya 572032,Hainan,China;Aerospace Information Research Institute,State Environmental Protection Key Laboratory of Satellite Remote Sensing,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;China Academy of Space Technology,Remote Sensing Satellite General Department,Beijing 100094,China;Satellite Application Center for Ecology and Environment,MEE,Beijing 100094,China;Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui,China;School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,Henan,China;College of Geography and Tourism,Anhui Normal University,Wuhu 241003,Anhui,China)

机构地区：[1]海南空天信息研究院,海南三亚572032 [2]中国科学院空天信息创新研究院,国家环境保护卫星遥感重点实验室,北京100101 [3]中国科学院大学,北京100049 [4]中国空间技术研究院遥感卫星总体部,北京100094 [5]生态环境部卫星环境应用中心,北京100094 [6]中国科学院合肥物质科学研究院安徽光学精密机械研究所,安徽合肥230031 [7]河南理工大学测绘与国土信息工程学院,河南焦作454003 [8]安徽师范大学地理与旅游学院,安徽芜湖241003

出　　处：《光学学报》2023年第6期162-170,共9页Acta Optica Sinica

基　　金：海南省重点研发科技合作方向项目(ZDYF2020206);国家杰出青年科学基金(41925019);国家自然科学基金(41871269,41975036)。

摘　　要：利用大气辐射传输模型和指数衰减点扩展函数,发展了一套适用于亚米级分辨率的全色卫星影像的大气校正方法,该方法充分考虑了大气参数(气溶胶、水汽、臭氧及其他吸收气体等参数)、空间分辨率、背景像元与目标像元的空间距离等对邻近效应的影响。结果表明,本文建立的大气校正方法能够有效去除大气及周围环境对卫星入瞳信号的影响,充分解决全色卫星影像中的邻近效应问题,全面提升了卫星影像的质量(清晰度至少提高了155%,对比度至少提高了115%,边缘能量至少提高了247%,细节能量至少提高了204%,调制传递函数至少增大了169%)。Objective Due to the sub-meter higher spatial resolution of panchromatic satellite images,the imaging process is easily affected by atmospheric scattering and absorption and adjacency effect under low atmospheric visibility,resulting in blurred edges of image objects and reduced image quality,and seriously affects the accuracy of quantitative remote sensing application.Before the application of panchromatic satellite image,atmospheric correction should be carried out to improve image quality.At present,the conventional atmospheric correction software can not correct the panchromatic satellite image,so the digital image processing method is often used to improve the quality of panchromatic satellite image.However,the digital image processing method often brings the problems of noise and excessive enhancement while improving the image quality.Therefore,it is urgent to develop a set of atmospheric correction methods suitable for panchromatic satellite images,eliminate the influence of atmosphere and surrounding environment on the target pixel satellite entry pupil signal,recover the real surface information,and improve image quality in the panchromatic satellite image quantitative remote sensing application.Methods Taking the panchromatic satellite image of GF-2 as an example,this paper develops a set of atmospheric correction method for panchromatic satellite image by using the atmospheric radiative transfer model and the exponential decay point spread function.This method is simple to calculate,and fully considers the influence of atmospheric parameters(parameters of aerosol,water vapor,ozone,and other absorbing gases),spatial resolution,and adjacency effect between background pixels and target pixels on the entry pupil signal of target pixels,which further improves the image quality on the premise of ensuring the truth of panchromatic satellite image information.As an important evaluation index of an optical satellite imaging system,the modulation transfer function(MTF)can comprehensively and objectively characte

关 键 词：大气光学 全色卫星影像 高分二号 大气校正 邻近效应校正 

分 类 号：P407.4[天文地球—大气科学及气象学] TP79[自动化与计算机技术—检测技术与自动化装置]