Abstract:Atmospheric correction is a necessity in quantitative research using remote sensing information.Although several different methods are available, none of them are directly applicable to HJ-1A/B satell...Atmospheric correction is a necessity in quantitative research using remote sensing information.Although several different methods are available, none of them are directly applicable to HJ-1A/B satellite CCD sensors.In this paper, we develop a specific method of atmospheric correction for this sensor by improving on the dark object method using RVI (ratio vegetation index), SAVI (soil adjusted vegetation index) and NDVI (normalized difference vegetation index) indices, and validating the procedure using multiple-day satellite images of Dunhuang, China.Read More