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以TERRA卫星中分辨率成像光谱仪(MODIS)传感器热红外通道的星上定标结果为标准,采用交叉定标方法获取HJ-1B卫星红外多光谱相机(IRS)传感器热红外通道定标系数。首先,获取两个传感器的对应通道,利用MODTRAN模拟光谱响应、观测角、大气条件和温度变化对匹配因子的影响,然后确定此研究只考虑对应通道的波谱响应和地表温度差异,并计算出不同地表温度下匹配因子的变化趋势。选择7次不同时间双星同步观测青海湖区域的图像作为交叉定标数据,根据MODIS的辐射亮度和匹配因子计算出IRS传感器热红外通道的辐射亮度,最后,将得到的辐射亮度和DN值进行线性回归,获得IRS热红外通道的定标系数。将此次定标结果与HJ-1B卫星IRS传感器热红外通道星上4次黑体定标结果进行比较,定标结果一致性较好。
The calibration coefficients of thermal infrared channels of HJ-1B satellite infrared multi-spectrum camera (IRS) sensor were obtained by using the cross-calibration method based on the satellite calibration results of TERRA satellite MODIS sensor thermal infrared channel. Firstly, the corresponding channels of the two sensors were obtained, and the effects of spectral response, observation angle, atmospheric conditions and temperature on the matching factor were simulated by MODTRAN. Then the difference between the spectral response of the corresponding channel and the surface temperature was determined and the differences were calculated Change Trend of Matching Factors at Surface Temperature. The images of Qinghai lake area were selected as cross-calibration data by seven simultaneous observation of different time, and the radiation intensity of infrared channel of IRS sensor was calculated according to the radiation brightness and matching factor of MODIS. Finally, the obtained radiation brightness and DN value were linear Regression, to obtain IRS thermal infrared channel calibration coefficient. The results of this calibration and HJ-1B satellite infrared IRS sensor thermal infrared channel 4 times the black body calibration results were compared, the calibration results better consistency.