Atmospheric correction method for multi-spectral data of inland turbid water body based on green light wave band

Abstract

The invention discloses an atmospheric correction method for multi-spectral data of an inland turbid water body based on a green light wave band and relates to the technical field of remote sensing. The atmospheric correction method comprises the following steps: (A) preprocessing multi-spectral image data of an inland water body; (B) preprocessing a moderate-resolution imaging spectroradiometer (MODIS) L1B image which is synchronously acquired; (C) extracting clean pixels (dark pixels) from the preprocessed image data; (D) calculating an atmospheric correction factor through short-wave infrared (SWIR) band combination for MODIS data clean pixels; (E) calculating the water-leaving reflectivity of a clean water body green light wave band which is matched with a multi-spectral wave band according to an analog database and a great number of experiment observation data; (F) calculating the aerosol scattering of each wave band according to the atmospheric correction factor which is calculated in the step (D) and the water-leaving reflectivity which is calculated in the step (E); and (G) completing atmospheric correction of the multi-spectral image data according to the aerosol scattering which is calculated in the step (F). According to the method, the atmospheric correction accuracy of multi-spectral remote sensing data of the inland turbid water body is improved.

Description

technical field [0001] The invention relates to the field of remote sensing technology, in particular to an atmospheric correction method for multi-spectral data of inland turbid water bodies based on a green light band. Background technique [0002] Remote sensing technology is an important technical means for water environment monitoring and evaluation. Because multispectral remote sensing data often has the characteristics of high spatial resolution, it is an important data source for remote sensing monitoring of inland water environment. However, multispectral data usually only contains four bands of red, green, blue and near-infrared (such as Landsat TM sensor data, SPOT satellite data, CCD data of my country's Environment-1 satellite, etc.), the band is wide, and the lack of a special atmospheric correction band makes its atmospheric correction accuracy not high, which restricts its application in remote sensing monitoring of water environment . At present, the atmosph...

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Problems solved by technology

Since multispectral remote sensing data often have the characteristics of high spatial resolution, they are important data sources for remote sensing monitoring of inland water environments. TM sensor data, SPOT satellite data, my country's environment-1 satellite CCD data, etc.), the band is wide, and the lack of a special atmospheric correction band makes its atmospheric correction accuracy not high, which restricts its application in water environment remote sensing monitoring

Atmospheric correction of this type of data currently mainly uses radiative transfer models such as 6S, or the dark pixel method, etc. However, the radiative transfer model method needs to input a large number of simultaneously measured parameters such as aerosol type, visibility, etc., and these parameters are often Difficult to obtain; also, for inland turbid water bodies, the dark cell method tends to overcorrect, resulting in many negative values

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