【作者】 赵利民； 顾行发； 赵艳华； 占文凤； 谢勇； 王靓； 熊攀； 赵峰； 佃袁勇； 王兴玲； 胡德勇； 余涛；

【Author】 ZHAO Limin;GU Xingfa;ZHAO Yanhua;ZHAN Wenfeng;XIE Yong;WANG Liang;XIONG Pan;ZHAO Feng;DIAN Yuanyong;WANG Xingling;HU Deyong;YU Tao;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences;The Center for National Spaceborne Demonstration;508 Institute, China Academy of Space Technology;International Institute for Earth System Science, Nanjing University;Institute of Earthquake Science;School of Instrument Science and Opto-electronics Engineering, Beihang University;School of Remote Sensing and Information Engineering, Wuhan University;Ministry of civil affairs of the people’s Republic of China;Capital Normal University;

【机构】 中国科学院遥感与数字地球研究所； 国家航天局航天遥感论证中心； 北京空间机电研究所； 南京大学,国际地球系统科学研究所； 中国地震局地震预测研究所； 北京航空航天大学,仪器科学与光电工程学院； 武汉大学,遥感信息工程学院； 民政部卫星减灾应用中心； 首都师范大学,资源环境与旅游学院；

【摘要】 红外多角度相机(Multi-angular Infrared Camera,MAIC)在近红外、热红外波段设计有4个通道,并且在热红外波段能够同时从3个不同角度成像,为大气水汽估算和高精度劈窗地表温度反演提供了可能。基于全球TIGR(Thermodynamic Initial Guess Retrieval)大气探空数据,建立MAIC航空遥感数据水汽估算模型,并应用于地表温度(Land Surface Temperature,LST)反演劈窗算法的设计。于2014年5月20日~30日在河南郑州开展了MAIC航空遥感试验,飞行同步测量了LST、地表发射率、大气廓线等验证数据。校验了MAIC水汽估算精度,完成MAIC红外数据的辐射校正处理。结果表明,MAIC具有高精度飞行高度水汽估算能力,与探空廓线计算结果相差0.04 g/cm2;MAIC红外数据辐射校正方法在有效消除非均匀性、补偿盲元的同时,较好保留了图像的信息,信息熵变化低于0.05,清晰度提升可达1.6;MAIC具有高动态范围、高分辨率、大气校正以及多角度热红外成像能力,在地表目标识别、热红外定量反演与应用方面具有独特优势。更多还原

【Abstract】 The MAIC(multi-angular infrared camera) instrument has 4 spectral bands covering the near infrared(NIR) and thermal infrared(TIR) spectral range. The TIR lenses of MAIC provide multi-angular remote sensing ability at 3 different view angles. The potential of precipitable water vapor(PWV) estimation and high precision of land surface temperature(LST) retrieval are provided depending on the characteristics of MAIC. For this purpose, worldwide TIGR(Thermodynamic Initial Guess Retrieval) atmospheric profiles are employed to build the PWV estimation model from airborne MAIC data, and then the split-window algorithm coefficients for retrieving LST from MAIC are optimized. The airborne remote sensing experiment is at Zhengzhou during 2014-5-20 to 2014-5-30, synchronized with field measurements including LST, emissivity, atmospheric soundings, etc. Validation of PWV estimation and radiometric processing of airborne remote sensing data are carried out. The results show that MAIC can draw the distribution of PWV with error of 0.04 g/cm2 using NIR band 1(B1) and band2(B2). The TIR bands(B3&B4) are affected by detector noises, whereasthe radiometric corrections proposed in this paper can solve the problems correctly: the information of TIR images are well maintained after nonuniformity correction and blind-pixel compensation, where the change of image entropy are lower than 0.05, the enhancement of image definition can achieve to 1.6. The high resolution, wide dynamic range and multi-angular detection abilities for absolute radiometric corrected airborne MAIC images are achieved, which can provide potential advantages for targeting recognition and thermal infrared retrieval and applications.更多还原