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A Color Consistency Processing Method for HY-1C Images of Antarctica
Remote Sensing ( IF 5 ) Pub Date : 2020-04-03 , DOI: 10.3390/rs12071143 Zhijiang Li , Haonan Zhu , Chunxia Zhou , Liqin Cao , Yanfei Zhong , Tao Zeng , Jianqiang Liu
Remote Sensing ( IF 5 ) Pub Date : 2020-04-03 , DOI: 10.3390/rs12071143 Zhijiang Li , Haonan Zhu , Chunxia Zhou , Liqin Cao , Yanfei Zhong , Tao Zeng , Jianqiang Liu
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.
更新日期：2020-04-03
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.
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