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卫星遥感影像的大气校正是定量遥感研究的前提与难点之一,大气校正有多种方法和模型。采用FLAASH与QUAC模型对覆盖长株潭地区的SPOT 5遥感影像进行大气校正,进而对校正前后的影像进行视觉、地物光谱曲线对比分析。结果表明,两种模型有其特定的适用范围,均能基本消除大气的影响,能较好地恢复各类地物光谱的典型特征;采用FLAASH模型的精度较QUAC模型的精度高;应用QUAC模型较FLAASH简便,它对输入参数和仪器标定精度的依赖性小。
Atmospheric correction of satellite remote sensing images is one of the prerequisites and difficulties of quantitative remote sensing research. There are many methods and models for atmospheric correction. The FLAASH and QUAC models were used to calibrate the atmosphere of the SPOT 5 remote sensing image covering Chang-Zhu-Tan region, and then the visual and terrain spectral curves were compared and analyzed before and after the calibration. The results show that the two models have their specific scope of application, can basically eliminate the impact of the atmosphere, can better restore the typical characteristics of the spectrum of various types of land; FLAASH model accuracy than the QUAC model accuracy; the application of QUAC model Easier than FLAASH, it relies less on input parameters and instrument calibration accuracy.