摘要
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。
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）.
作者
张明
吕晓琪
王军凯
张晰
ZHANG Ming1, LV Xiao-qi1,2, WANG Jun-kai1 , ZHANG Xi3(1. School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China; 2. Inner Mongolia University of Technology, Hohhot 010051, China; 3. The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, Chin)
出处
《海洋环境科学》
CAS
CSCD
北大核心
2018年第2期287-293,共7页
Marine Environmental Science
基金
国家重点研发计划项目(2016YFA0600102)
国家自然科学基金(61771266)
内蒙古自治区高等学校科学研究项目(NJZY18150)
作者简介
张明（1985-），男，内蒙古包头人，硕士，讲师，主要研究方向为数字图像处理、遥感图像处理和模式识别等方面，E-mail：z_ming85@126．com;通讯作者：吕晓琪（1963-），男，内蒙古包头人，教授，博导，博士，主要研究方向为数字图像处理，E-mail：lxiaoqi183@126．com
