An atmospheric correction method for water body of a city river network area

Abstract

The invention discloses an atmospheric correction method for water body of a city river network area, which comprises the following steps of preprocessing the remote sensing data to obtain a radianceimage; selecting as many water pixels located in the shaded area as possible as dark pixels, and counting the minimum values of all the selected dark pixels in each band; optimizing the aerosol turbidity coefficient and wavelength exponent to calculate the aerosol optical depth in each band; subtracting the radiance of the shadow pixel from the original radiance image, and then calculating the atmospheric upward transmittance according to the aerosol optical depth, and obtaining the water-leaving radiance of the water body; converting the radiance of water leaving to remote sensing reflectanceor water leaving reflectance, and completing the atmospheric correction of water body. The method of the invention solves the problem that it is difficult to find clear and deep water body as dark pixel in the urban river network area, and can realize atmospheric correction of type II turbidity water body in the urban river network area through common buildings and bridge shadows in the peripheryof the urban river network area.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and relates to a method for atmospheric correction of water bodies in urban river network areas based on high-resolution remote sensing data. Background technique [0002] Water quality remote sensing technology can quickly obtain large-scale water quality information, and is increasingly used in water environment monitoring. Compared with vegetation, soil, and buildings on land, water bodies are low-reflective features, and the reflectance in the visible light band is generally between 2% and 5%. However, the water body signal received by the satellite sensor at the top layer of the atmosphere can generally reach 8%-10%, or even more. Atmospheric scattering has caused great interference to the spectral information of water bodies, which affects the remote sensing extraction of water quality parameters. Therefore, for water quality remote sensing technology, the accuracy of atmospheric c...

AI Technical Summary

Problems solved by technology

This method solves the problem that it is difficult to find clear and deep water bodies as dark pixels in the urban river network area, and can realize the atmospheric correction of Class II turbid water bodies in the urban river network area through the shadows of common buildings and bridges around the urban river network area.

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