基于Sentinel-1数据波弗特海域海冰漂移检测技术研究

卫星遥感技术是目前对极区海冰监测的重要手段，随着卫星数据的不断优化，选择适合的漂移算法，提高海冰漂移检测的精度，对我国开展极区海冰运动研究有重要的意义。本文首先基于Sentinel-1遥感数据，采用有效的预处理方法，得到较为准确的数据集。然后针对所得数据集采用SIFT（Scale-Invariant Feature Transform）特征跟踪方法，实现了对时间间隔为1 d的极区海冰漂移的速度和方向监测。最后用浮标数据对本方法进行了验证。结果表明，本文所得漂移矢量与浮标数据所得结果基本一致，与浮标数据的平均误差比仅为8.1%，从而表明该方法可以有效地实现极区海冰漂移检测，且准确性较高。

Research on sea ice drift detection technology based on Sentinel-1 data in Beaufort sea area

Satellite remote sensing technology serves as an important means to monitor the sea ice in Polar Regions at present.With the continuous optimization of satellite data, the appropriate algorithm may improve the accuracy of sea ice drift monitoring, which has the important significance to the researches of polar sea ice motion in China.This study obtained a more accurate data set through an effective preprocessing method based on Sentinel-1 remote sensing data.Additionally, the SIFT (Scale-Invariant Feature Transform) feature tracking method was used to realize the monitoring of the velocity and orientation of the sea ice drifting in polar regions with a time interval of one day based on the previous data set.Finally, this method was validated by buoy data.The results suggest that the drift vector obtained in this study is consistent with that obtained from buoy data, which indicates that the method can effectively realize the detection of sea ice monitoring in the polar regions with high accuracy(the average error ratio is 8.1% compared with the buoy data).