Abstract
The HY-1C satellite, as part of China’s optical satellite constellation for global ocean monitoring, monitors the ocean and coastal environment by the three broad visible bands of the Coastal Zone Imager (CZI) instrument. However, as a result of the sensor instrument noise, the atmospheric environment during imaging, and the shooting angle, the satellite images often show uneven illumination and inconsistent color between neighboring images. In this paper, according to the characteristics of the HY-1C CZI instrument, we propose a color consistency processing framework for coastal zone images of Antarctica. First of all, the high-frequency and low-frequency information of the image is separated by a statistical filter with simple clustering. The uneven lighting is then replaced by artificial lighting, which is globally uniform. Finally, the color difference between images is corrected by a color transfer method. In order to evaluate the color consistency results quantitatively, a new quantitative evaluation method is proposed. The experimental results for the coastal zone images of Antarctica show that the new processing framework can effectively eliminate the unevenness in the lighting and color. The mosaic results show a good performance in consistent lighting and tones, and the lack of visible mosaic lines proves the effectiveness of the proposed method. The quantitative evaluation analysis confirms the superiority of the proposed method over the Wallis method.
Highlights
The HY-1C satellite is the third experimental satellite launched by China for monitoring the ocean surface
The Coastal Zone Imager (CZI) instrument onboard the HY-1C satellite has the characteristics of a large swath width and a high spatial resolution, and it produces observations with a high contrast
In this paper, according to the characteristics of the HY-1C CZI instrument for Antarctica, a novel color consistency processing framework is proposed to address the problems of large color differences and uneven lighting in the image mosaics
Summary
The HY-1C satellite is the third experimental satellite launched by China for monitoring the ocean surface. Wang et al [6] presented a processing flow and a corresponding processing approach based on the mask dodging principle This method uses a mathematical model to simulate the changes of brightness and compensate the different parts of the image. Limited by the texture, color, and filter, these methods all need to be adjusted to the specific image characteristics when utilized in practice To address this issue, Li et al [13] proposed a uniform algorithm based on adaptive templates, which works by fitting the secondary surface of the brightness mean of the local area. In this paper, according to the characteristics of the HY-1C CZI instrument for Antarctica, a novel color consistency processing framework is proposed to address the problems of large color differences and uneven lighting in the image mosaics. The proposed method takes into account the consistency in both a single image and between different images
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