Effect of Synchronous Atmospheric Correction on the Accuracy of High-Resolution Remote Sensing Indices Images

Accurate inversion of remote sensing indices images with high-resolution is an important basis for extracting the surface information on fine scale and the remote sensing application with high precision. Under the background that the effect of atmospheric correction on the inversion accuracy of medium-resolution remote sensing indices has been widely concerned, the atmospheric correction method based on the synchronous atmospheric parameters retrieved from the synchronization monitoring atmospheric corrector, which is on board the high-resolution multimode integrated imaging satellite (Gao Fen Duo Mo,) platform, is proposed. The “spaceborne—airborne” synchronous imaging experiment was conducted to investigate the effect of synchronous atmospheric correction on the accuracy of high-resolution remote sensing indices images. The low-altitude synchronous remote sensing indices images were taken as the reference standard, the correlation between the normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) images after synchronous atmospheric correction and the reference images are improved by 4.27% and 12.22%, respectively. The mean errors in average NDVI and NDWI value of sampling plot decreased by 0.2489 and 0.1032, respectively. The average errors in the peak value of change rate of pixel index value are reduced by 0.1194 and 0.2288 in the case of NDVI and NDWI, respectively. Compared with the results of FLAASH, the synchronous atmospheric correction method shows better performance, especially in the targets with low reflectance (the atmospheric radiation contribution is higher than the surface radiation contribution), and in the adjacent area between two different ground objects. The results demonstrate that synchronous atmospheric correction can effectively improve the inversion accuracy of high-resolution remote sensing indices images and its ability of quantitative application.