Atmospheric Correction of High Resolution Remote Sensing Images with Automatic Data Acquisition by Network

Atmospheric parameters are necessary inputs for atmospheric correction, but obtaining these parameters is difficult. To address this challenge, a solution for atmospheric parameter acquisition based on NNAeroG and networked automatic matching was proposed. This solution, combined with QUAAC, enables the atmospheric correction of GF images, thereby achieving full process automation of atmospheric correction. This scheme effectively simplifies the tedious process of obtaining AOD in existing methods and greatly improves the efficiency of atmospheric correction. The atmospheric parameters provided by this program can support multiple atmospheric correction methods, reduce labor-intensive operations, and offer efficient tools for large-scale atmospheric radiation production and research.