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首页> 外文会议>Remote Sensing of Clouds and the Atmosphere XII; Proceedings of SPIE-The International Society for Optical Engineering; vol.6745 >An atmospheric correction iterative method for very high resolution aerospace imaging spectrometers
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An atmospheric correction iterative method for very high resolution aerospace imaging spectrometers

机译：高分辨率航空成像光谱仪的大气校正迭代方法

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摘要

Increasing the radiometric accuracy and spectral resolution of aerospace optical imagers for Earth observation may allow enhanced results many remote sensing applications. This demand for accurate radiometric calibration and requests that atmospheric effects are carefully accounted for. Obtaining surface reflectance maps from the at-sensor radiance images requires improved atmospheric correction procedures. Based on the availability of data acquired at so high spectral resolution to allow the detection of different spectral features of some atmospheric constituents, an iterative estimation algorithm has been developed.. The default atmospheric profiles available in MODTRAN 4 have been firstly refined through at-ground level measurements of some parameters, like temperature, pressure, humidity. The algorithm uses the results of MODTRAN 4 simulations to calculate the apparent reflectance of several image pixels for various abundances of atmospheric constituents. The retrieved reflectance spectra are analysed in order to detect the presence of residual atmospheric absorption features, the amplitude of which is adopted as a score of sub-optimal atmospheric correction. A numerical minimization algorithm then finds the optima atmospheric parameters for the processed scene. Five parameters are estimated using this inversion procedure: visibility, H_2O vapour, CO_2, CO, and O_3. To test and validate the method some images acquired by the new airborne sensor HYPER / SIM-GA on 15th December 2005 during a coastal zone remote sensing campaign have been utilized. Synthetic dataset simulating the above sensor have been employed too. First results are presented and discussed taking into account the feasibility of avoiding in-field measurements.
机译：增加用于地球观测的航空光学成像仪的辐射精确度和光谱分辨率可以提高许多遥感应用的结果。这种对精确辐射校准的要求，并要求仔细考虑大气影响。从传感器辐射度图像获得表面反射率图需要改进大气校正程序。基于以如此高的光谱分辨率采集的数据的可用性，以允许检测某些大气成分的不同光谱特征，开发了一种迭代估计算法。.MODTRAN 4中提供的默认大气廓线首先通过地面进行了优化某些参数的水平测量，例如温度，压力，湿度。该算法使用MODTRAN 4仿真的结果来计算几种图像像素在各种大气成分下的表观反射率。分析检索到的反射光谱，以检测残留的大气吸收特征的存在，其幅度被用作次优大气校正的分数。然后，数值最小化算法找到已处理场景的最佳大气参数。使用此反演过程估算了五个参数：能见度，H_2O蒸气，CO_2，CO和O_3。为了测试和验证该方法，已利用了新的机载传感器HYPER / SIM-GA于2005年12月15日在海岸带遥感运动中获取的一些图像。也已经采用了模拟上述传感器的综合数据集。考虑到避免现场测量的可行性，提出并讨论了第一个结果。

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