FY-4A多通道扫描辐射成像仪评价与图像合成
投稿时间:2017-11-28  修订日期:2018-03-22  点此下载全文
引用本文:陈博洋,吴琼,冯绚,郭强,魏彩英.FY-4A多通道扫描辐射成像仪评价与图像合成[J].红外与毫米波学报,2018,37(4):411~415].CHEN Bo-yang,WU Qiong,FENG Xuan,GUO Qiang,WEI Cai-Ying.On-Orbit Test to FY-4A AGRI and Generating RBG Image[J].J.Infrared Millim.Waves,2018,37(4):411~415.]
摘要点击次数: 221
全文下载次数: 172
作者单位E-mail
陈博洋 国家卫星气象中心 chenby@cma.gov.cn 
吴琼 国家卫星气象中心  
冯绚 国家卫星气象中心  
郭强 国家卫星气象中心  
魏彩英 国家卫星气象中心 278998861@qq.com 
基金项目:国家自然科学基金项目(41375023)
中文摘要:风云四号是中国第二代静止轨道气象卫星,采用三轴稳定平台,风云四号A星于2016年12月11日成功发射,搭载了3台光学载荷,分别是多通道扫描辐射成像仪、干涉式大气垂直探测仪和闪电成像仪,其中多通道扫描辐射成像仪用来替代风云二号静止轨道气象卫星可见光红外扫描辐射计,可见光红外扫描辐射计是5通道成像仪,多通道扫描辐射成像仪是14通道成像仪,并且成像质量大幅度提高。卫星发射后,针对14通道成像仪新的功能和性能,开展了卫星在轨评价工作,为保证仪器评价准确性,采用典型算法开展了系列测试,多维度综合评价多通道扫描辐射成像仪实际性能。利用澳大利亚西海岸锐利的图像边缘,采用刃边法对太阳反射通道进行在轨MTF评价,结果表明,多通道扫描辐射成像仪各反射通道在轨MTF分别达到了0.14、0.17和0.22以上,符合仪器指标要求;利用面源黑体对红外通道噪声进行评价,结果表明多通道扫描辐射成像仪性能稳定,噪声大小只与辐冷温度有关,目标温度300K时主要红外通道噪声优于0.2K,最优通道达到了0.06K;为准确检验红外定标精度,采用GSICS方法对红外通道业务定标结果进行检验,GSICS检验显示定标精度优于1K,最优通道达到了0.3K@290K。为充分发挥多通道扫描辐射成像仪多通道联合应用效能,根据多通道扫描辐射成像仪反射通道的响应特点,在没有符合人眼红绿蓝响应通道的情况下,提出了新的真彩色图像合成方法,生成了符合人眼效果的真彩色明显。
中文关键词:静止轨道成像仪  在轨评价  调制传递函数  定标与检验  真彩色图像  
 
On-Orbit Test to FY-4A AGRI and Generating RBG Image
Abstract:FengYun-4(FY-4) geostationary orbit meteorological is the 2nd generation geostationary orbit meteorological satellite of China, which is the same as all the new generation geostationary orbit meteorological satellites of other countries, the satellite uses three-axis stability platform. FY-4A was launched successfully on Nov. 11 in 2016, on which there are three optical apparatus, including Advanced Geostationary Radiation Imager(AGRI), Geostationary Interferometric Infrared Sounder(GIIRS) and Lightning Mapping Imager(LMI), the AGRI is used to replace the Visible and Infrared Spin Scan Radiometer(VISSR) on FengYun-2, VISSR works in 5 bands, AGRI works in 14 bands, and the capability of AGRI improves greatly comparing to VISSR. After launch, the on-orbit test to the satellite is done in about 7 months, the MTF of the solar reflectance bands is better than 0.14, 0.17 and 0.22, that is better than the designed capability. The noise test is based on the black-body on the apparatus, the noise for all the infrared bands is less than 0.2K@300K, the noise of the best band is about 0.06K@300K. The calibration precession of infrared band is validated by the GSICS algorithm, the bias of all the infrared bands are less than 1K comparing to IASI, the bias of the best band is about 0.3K@290K. The RGB image carries more information than the gray image, although the AGRI has 6 solar reflectance bands, there are no real red, green and blue bands of human beings, a new algorithm generating RGB image for AGRI is suggested, based on the character of 0.82 band, a very beautiful RGB image which is good to human beings is generated, that improves the multi band use for AGRI.
keywords:geostationary imager  on-orbit test  modulation transform function  calibration and validation  RGB image  
查看全文  查看/发表评论  下载PDF阅读器

版权所有:《红外与毫米波学报》编辑部