Abstract

The Haiyang-1C (HY-1C) satellite is the first operational ocean color satellite of the Chinese HY-1 series satellites. The Chinese Ocean Color and Temperature Scanner (COCTS) onboard the HY-1C satellite has 10 channels for ocean color and sea surface temperature (SST) observations. Cloud detection is one of the key preprocessing steps of SST retrieval. In this paper, we use deep neural network U -Net for detection of clouds in HY-1C COCTS imagery. The ground truth of dataset using to train the U -Net model is constructed by Bayesian cloud detection method and manual mask. The overall accuracy has achieved 0.96 on the COCTS test dataset.

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