首页> 外文会议>Automatic Object Recognition II >Algorithm for the estimation of water temperatures from thermal multispectral airborne remotely sensed data
【24h】

Algorithm for the estimation of water temperatures from thermal multispectral airborne remotely sensed data

机译:根据热多光谱机载遥感数据估算水温的算法

获取原文
获取原文并翻译 | 示例

摘要

Abstract: The effective flux incident upon the detectors of the sensor, after is has been corrected for atmospheric effects, is a nonlinear function of the emissivity of the target for that channel and the temperature of the target. The sensor system cannot separate the contribution from the emissivity and the temperature that constitute the flux value. In this paper, we describe a method that estimates the water temperature from thermal data. This method is then tested with remotely sensed data obtained from NASA's Thermal Infrared Multispectral Scanner (TIMS) - a 6 channel thermal sensor. Since this is an under-determined set of equations i.e. there are 7 unknowns (6 emissivities and 1 temperature) and 6 equations (corresponding to the 6 channel fluxes), there exist theoretically an infinite combination of values of emissivities and temperature that can satisfy these equations. However using some realistic bounds on the emissivities, bounds on the temperature are calculated. These bounds on the temperature are refined to estimate a tighter bound on the emissivity of the source. An error analysis is also carried out to quantitatively determine the extent of uncertainty introduced in the estimate of these parameters. This method is useful only when a realistic set of bounds can be obtained for the emissivities of the data. In the case of water the lower and upper bounds were set at 0.97 and 1.00 respectively. A set of images obtained with the TIMS are then used as real imagery data. The data was acquired over Utah Lake, Utah, a large freshwater lake near Salt Lake City, in early April 1991. It will be used to identify water temperatures for detection of underwater thermal, saline, and fresh water springs. An image entirely consisting of water is analyzed. The temperatures of the pixels are calculated to an accuracy of less than 1 deg. K. The error histograms of the temperature estimates are also calculated.!14
机译:摘要:在校正了大气影响之后,入射到传感器检测器上的有效通量是该通道的目标发射率和目标温度的非线性函数。传感器系统无法将构成通量值的辐射率和温度的贡献分开。在本文中,我们描述了一种根据热数据估算水温的方法。然后使用从NASA的红外热光谱仪(TIMS)(6通道热传感器)获得的遥感数据测试该方法。由于这是一个不确定的方程组,即存在7个未知数(6个发射率和1个温度)和6个方程式(对应于6个通道通量),因此理论上存在可以满足这些要求的发射率和温度值的无限组合方程。但是,使用发射率的一些实际边界来计算温度的边界。对温度的这些边界进行精炼,以估计源辐射率的更严格的边界。还进行了误差分析,以定量确定在这些参数的估计中引入的不确定性程度。仅当可以针对数据的发射率获得逼真的边界集时,此方法才有用。对于水,下限和上限分别设置为0.97和1.00。然后,将使用TIMS获得的一组图像用作真实图像数据。该数据是在1991年4月上旬在盐湖城附近的大型淡水湖犹他州犹他州湖上采集的。它将用于识别水温,以检测水下的温泉,盐水和淡水泉水。分析完全由水组成的图像。像素的温度计算得出的精度小于1度。 K.还会计算温度估算值的误差直方图!14

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号