提高滇东南石漠化区域遥感反演中的大气校正精度

Improving Atmospheric Correction Precision of Remote Sensing Image Inversion in Southeast Rocky Desertification Area of Yunnan

在充分考虑气溶胶空间分布和地表临近效应的基础上,综合考虑湿度及光谱分析确定合理的能见度,并分析研究不同校准文件对于光谱反射率的影响.将这些值应用于大气校正的计算过程,以此提高大气校正的精度.结果表明,利用该模型进行的大气校正能够有效降低大气分子、水汽、臭氧、气溶胶粒子等对卫星遥感影像造成的影响,提高遥感石漠化信息反演精度.该方法在冬季的校正效果较秋季和春季的更佳.

Based on the aerosols spatial distribution and the near effect of the earth＇s surface, the paper studies the influence of different calibration files for spectral reflectance, determines appropriate calibration information, takes into account humidity, and determines reasonable visibility through spectral analysis. These values are used in the calculation of atmospheric correction to improve precision of atmosphere correction. The results show that they can effectively reduce the effects of air molecules, water vapor, aerosol particles, and ozone on the satellite remote sensing images, and improve remote sensing information inversion accuracy in the rocky desertification area. The performance of this method is better in winter than in autumn and spring.