红外与毫米波学报, 2018, 37 (4): 411, 网络出版: 2019-01-10   

FY-4A多通道扫描辐射成像仪评价与图像合成

On-orbit test to FY-4A AGRI and generating RBG image
作者单位
国家卫星气象中心, 北京 100081
摘要
风云四号卫星发射后, 开展了卫星在轨评价工作.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300 K时主要红外通道噪声优于0.2 K, 最优通道达到了0.06 K; 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1 K, 最优通道达到了0.3 K@290 K.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.
Abstract
After launching FengYun-4(FY-4), the on-orbit test to the satellite is done, 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 0.2 K@300 K, the noise of the best band is about 0.06 K@300 K. 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 0.3 K@290 K. 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.
参考文献

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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. CHEN Bo-Yang, WU Qiong, FENG Xuan, GUO Qiang, WEI Cai-Ying. On-orbit test to FY-4A AGRI and generating RBG image[J]. Journal of Infrared and Millimeter Waves, 2018, 37(4): 411.

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