System, method, and non-transitory, computer-readable medium containing instructions for image processing

An image processing method performed at least partially by at least one processor, the image processing method comprising:

• extracting, from an input image, a cloud spectrum across a plurality of wavelength bands of the input image;
• determining a cloud thickness at each pixel of a plurality of pixels in the input image;
• accessing a database contained in at least one storage device and storing
• a plurality of predetermined values of the cloud thickness and predetermined cloud spectra, and
• a plurality of corresponding values of at least one cloud optical property;
• retrieving, from the database, values of the at least one cloud optical property at the plurality of wavelength bands, the retrieved values corresponding to the extracted cloud spectrum and the determined cloud thickness;
• and
• correcting the input image, by using the retrieved values of the at least one cloud optical property at the plurality of wavelength bands, to remove clouds from the input image to obtain a corrected image.

A non-transitory, computer-readable medium containing therein instructions which, when executed by at least one processor, cause the at least one processor to perform

• extracting, from an input image, a cloud spectrum across a plurality of wavelength bands of the input image;
• determining a cloud thickness at each pixel of a plurality of pixels in the input image;
• accessing a parameter database contained in at least one storage device and storing
• a plurality of predetermined cloud spectra, and
• a plurality of corresponding parameters of at least one model of cloud transmittance;
• retrieving, from the parameter database, parameters of the at least one model of the cloud transmittance at the plurality of wavelength bands, the retrieved parameters corresponding to the extracted cloud spectrum;
• determining values of the cloud transmittance at the plurality of wavelength bands by applying (i) the parameters retrieved from the parameter database, and (ii) the extracted cloud spectrum to the at least one model;
• determining values of the cloud reflectance based on the determined cloud thickness and the extracted cloud spectrum;
• and
• correcting the input image, by using the determined values of the cloud transmittance and the cloud reflectance, to remove clouds from the input image to obtain a corrected image.