Abstract
Sea ice area accounts for about 22.9% of the global ocean area, so the research of ice plays an important role in the marine field. The ice data that can be obtained by means of site investigation is very limited, and remote sensing means has unique advantages in large-scale and multi-element feature extraction. Especially in recent years, the available remote sensing image data is becoming more and more abundant, which makes it an important supplementary data for ice research. In this paper, we took the typical sea area of Bohai Bay in China as an example, analyzed the overall characteristics of the ice condition in the target sea area by collecting the winter remote sensing image data in recent 8 years. By using the methods of target recognition, edge detection and time series analysis, four main characteristics of the ice blocks were extracted: time characteristics, spatial characteristics, scale characteristics and motion characteristics. The results enriched the research data of ice condition in the target sea area.
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