火星高光谱遥感大气校正方法

Methods of Atmospheric Correction for Hyperspectral Remote Sensing on Mars

高光谱遥感是火星探测的主要技术手段之一,由于火星与地球大气成分的差异,火星高光谱遥感的大气影响与地球有所不同。火星高光谱遥感大气校正可采用平场域法(FF)、内部平均相对反射率法(IARR)、辐射传输算法,解混算法和ETF算法等。文中分析了各算法的主要思路和优缺点,讨论了使用参数的差异及其不同的计算过程,并对火星南极地区一幅影像(ORB0942_2)进行了ETF、FF和IARR三种大气校正试验。通过某些特定矿物(如石膏)的光谱特征拟合分析,认为ETF方法在特征吸收拟合方面效果较好,而FF和IARR在总体拟合度方面效果较好。

Hyperspectral remote sensing is one of major technological means of Mars mission. Various of atmospheric effects on hyperspectral data between Mars and Earth due to the different composition of atmosphere. Methods of atmospheric correction of hyperspeetral image on Mars can use Flat Field, Internal Average Relative Reflectance, Radiative Transfer Algorithm, Deeonvolution Algorithm and ETF Algorithm. This paper analyzes the main idea, advantages and disadvantages of each method, discusses the differences of the operating parameters and computational process, and introduces ETF, FF and IARR atmospheric correction method to Mars South Pole area （ORB0942_2） image. It indicates that the ETF method is good for the absorption characteristic fitting effect, FF and IARR are good for the general fitting effect through the spectral feature fitting analysis of certain specific minerals （for example gypsum）.