A method for extracting near-shore sea ice based on FY-3 / MERSI satellite data

By preprocessing FY-3/MERSI satellite imagery and fusing multi-band information, the problem of high-resolution automatic identification of sea ice in high-latitude nearshore waters was solved, achieving high-precision sea ice remote sensing extraction, which is suitable for computer platforms.

CN120259906BActive Publication Date: 2026-07-03NANJING UNIV OF INFORMATION SCI & TECH +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF INFORMATION SCI & TECH
Filing Date
2025-06-06
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies lack high spatial resolution remote sensing products and operational sea ice remote sensing inversion technologies, making it difficult to meet the needs of sea ice monitoring in nearshore waters, especially in terms of dynamic monitoring and data updates of sea ice in high-latitude nearshore waters.

Method used

Preprocessing of image data from FY-3/MERSI satellites, including radiometric correction, geometric correction, image mosaicking, cropping, resampling, and land-sea-cloud separation, is performed. A nearshore sea ice remote sensing identification algorithm is established by combining multi-band adaptive thresholding and principal component analysis, and automatic identification of sea ice is achieved through multi-band information fusion.

Benefits of technology

It achieves high spatial resolution automatic identification of sea ice information in high-latitude nearshore waters, meets the needs of operational sea ice remote sensing extraction, has high precision and accuracy, and is suitable for various computer platforms.

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Abstract

The application discloses a kind of based on FY-3 / MERSI satellite data's nearshore sea ice remote sensing extraction method, comprising the following steps: S1, the MERSI image obtained is preprocessed, and only the MERSI image of sea ice and seawater is obtained;S2, according to the difference of sea ice and seawater in each channel spectral characteristics of MERSI image, establish nearshore sea ice remote sensing recognition algorithm, the precision and accuracy of nearshore sea ice remote sensing recognition algorithm are evaluated;S3, according to nearshore sea ice remote sensing recognition algorithm, the nearshore sea ice information is extracted from the MERSI image of each day;The daily sea ice data extracted in each month is averaged for 10 days and monthly, and sea ice ten-day product and monthly product are generated.The application can realize the automatic identification of high spatial resolution sea ice information in winter high latitude nearshore sea area.
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