Publications

Yang, HY; Ma, WT; Yu, Y; Yang, XF (2025). Super-Resolution Sea Surface Temperature From Multiple Thermal Infrared Bands Using Residual Channel Attention Network. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 22, 1502105.

Abstract
Super-resolution (SR) techniques are commonly used to obtain high-resolution (HR) sea surface temperature (SST) data. However, existing SST SR methods require collocated optical and thermal infrared images as inputs, making them completely unusable at night. This letter presented a novel SST SR method that uses two thermal infrared sensors (TIRSs) by the residual channel attention network (RCAN). The process is tested by 1 km-resolution Sentiel-3/SLSTR and Terra/MODIS data to obtain 250 m SST data. Evaluation results indicate that this method outperforms the scheme that uses visible light data as input in terms of better metrics in root mean square error (RMSE) of 0.12 degrees C, structural similarity index measure (SSIM) of 0.784, and peak signal-to-noise ratio (PSNR) of 22.35 dB. The case studies also demonstrate its capability for night-time applications.

DOI:
10.1109/LGRS.2025.3554731

ISSN:
1558-0571