Synchronous atmospheric correction method proposed for multi-spectral satellite images

Visual effects of the images before and after Syn-AC. Credit: Xu Lingling

Atmospheric conditions change dramatically throughout time and space. The goal of atmospheric correction based on the radiative transfer model is to remove the atmospheric radiative influence from remote sensing photos, but it is constantly constrained by the difficulty of acquiring atmospheric parameters that match images at temporal and geographical scales.

To retrieve surface reflectance, experts from the Chinese Academy of Sciences Hefei Institutes of Physical Science suggested a method that eliminates the impact of the atmosphere and adjacency effects, resulting in the genuine reflectance of ground objects. Remote Sensing published relevant results.

"And we used it to retrieve synchronous atmospheric parameters from SMAC," said Xu Lingling, the study's first author, "and what we suggested in this experiment is called synchronization atmospheric correction (Syn-AC) method."

They tested it using multi-spectral remote sensing photos from Gao Fen Duo Mo (GFDM), the first civilian high-resolution remote sensing satellite equipped with the Synchronization Monitoring Atmospheric Corrector (SMAC), and it worked. Aside from that, they ran synchronous field-measured studies to evaluate Syn-performance. AC's

To undertake atmospheric correction tests, six photos from three radiometric calibration locations (Dunhuang, Songshan, and Baotou) under varying atmospheric conditions were chosen. The visual impacts were also assessed before and after atmospheric adjustment.

Comparison between the retrieved reflectance after Syn-AC and the field-measure values of the white and black targets in the Songshan site. Credit: Xu Lingling

They also compared the average reflectance of the selected targets in the Syn-AC surface reflectance picture to the reflectance values measured in the field. The findings showed that by removing the blurring effect, the aesthetic effects of the corrected picture were enhanced, and the true characteristics of ground objects were effectively restored. The quantitative use of GFDM satellite data might be aided by an atmospheric adjustment based on synchronous atmospheric characteristics.

Journal Information: Lingling Xu et al, Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite, Remote Sensing (2022). DOI: 10.3390/rs14174427

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