Abstract：Cirrus clouds were widely existed in the atmosphere, which seriously hindered the ground observation process of optical remote sensing, and reduced the accuracy and availability of data. An automatic cirrus clouds correction method was proposed, which fully uses the cirrus clouds detection band and couples a scattering law with the band correlation. Firstly, a scattering law was used to quantitatively describe the cirrus clouds intensity and further applied to derive the correlation of cirrus clouds in bands. Then, taking the cirrrus clouds detection band as reference, the band correlation between adjacent bands was mined and coupled with a scattering law to estimate the cirrus clouds intensity accurately in different bands and remove the cirrus clouds. The Landsat-8 operational land imager (OLI) data was selected for experiment to validate the accuracy and adaptability of the method. Moreover, the airborne visible infrared imaging spectrometer (AVIRIS)and GaoFen-5 advanced hyperspectral imager (AHSI)data were further chosen to test the expandation. Results showed that the proposed method could effectively remove the cirrus clouds interference in different bands and was suitable for various scenes, accurately recovered the reduced surface information, had good performance in visual and quantitative evaluation, and could meet the application requirements of quantitative remote sensing.
2022, Vol. 35 
