[1]NietoBorge J C, Hessner K, Jarabo A P, et al. Signaltonoise ratio analysis to estimate ocean wave heights from Xband marine radar image time series[J]. IET Radar Sonar Navig, 2008, 2(1):3541P.[2]Dankert H, Horstmann J, Rosenthal W. Ocean wind fields retrieved from radar image sequences[J]. Journal of Geophysical Research, 2003, 108(C11):1611611.[3]Dankert H, Horstmann J, Rosenthal W. Ocean surface winds retrieved from marine radar image sequences[C]∥International Geosciences and Remote Sensing Symposium. Anchorage AK: [s.n.], 2004, 3:19031906.[4]王剑,段华敏. X波段雷达图像提取海洋表面风场[J]. 海洋技术. 2010, 29(3):58.WANG Jian, DUAN Huamin. Ocean surface wind fields retrieved from Xband radar images [J]. Ocean Technology, 2010, 29(3):58.[5]Dankert H, Horstmann J. A marine wind sensor [J]. Journal of Atmospheric and Oceanic Technology, 2007, 24:1642.[6]Dankert H, Horstmann J, Rosenthal W. Wind and wave field measurements using marine Xband radar image sequences[J]. IEEE Journal of Oceanic Engineering, 2005, 30(3):534542.[7]卢宗庆.运动图像分析中的光流计算方法[D].西安:西安电子科技大学电子工程学院,2007.[8]Papenberg N. Highly accurate optical computing with theoretically justified warping[J]. International Journal of Computing Vision, 2006, 67(2):141158.[9]Weickert J, Schnǒrr C. Variation optic flow computation with a spatiotemporal smoothness constraint [J]. Journal of Mathematical Imaging and Vision, 2001, 14:245255.[10]Bruhn A, Weickert J. Towards ultimate motion estimation: combining highest accuracy with real time performance[C]∥Proceedings of the 10th IEEE International Conference on Computer Vision. Beijing: [s.n.], 2005, 1:749755.[11]Brox T, Bruhn A, Papenberg N, et al. High accuracy optical flow estimation based on a theory for warping[C]∥The 8th European Conference on Computer Vision. Prague, Czech Repubic: [s.n.], 2004, 4:2536.[12]Demetz O, Weickert J, Bruhn A, et al. Optical flow scale space[C]∥Third International Conference on Scale Space and Variational Methods, SSVM 2011. EinGedi, The Dead Sea, Israel: [s.n.], 2011: 713724.[13]Vallgerts L, Bruhn A, Mainberger M, et al. Dense versus sparse approaches for estimating the fundamental matrix[J]. International Journal of Computer Vision, 2012, 96(2): 212234. |