Adaptive atmospheric correction method of hyperspectral satellite based on prior ground object spectral matching

摘要

The present disclosure provides an adaptive atmospheric correction method of hyperspectral satellite based on prior ground object spectral matching. The method includes: establishing an adaptive atmospheric parameter retrieval algorithm of hyperspectral satellite data; based on the estimation algorithm of the integrated atmospheric column water vapor content, using a function between a linear regression band ratio and a water vapor content for estimation; in the aerosol optical depth estimation method of the hyperspectral data, using the rich spectral information of the hyperspectral data to perform AOD iterative estimation with the ground object spectral library as prior knowledge in combination with spectral matching, and establishing an atmospheric correction algorithm combining with an MODTRAN radiative transfer model. The method is applicable to hyperspectral data characteristics and has high accuracy; and without depending on external auxiliary data, atmospheric correction can be completed automatically.