Extracting nonrigid motion and 3D structure of hurricanes from satellite image sequences without correspondences
Extracting nonrigid motion and 3D structure of hurricanes from satellite image sequences without correspondences
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从没有对应关系的卫星图像序列中提取飓风的非刚性运动和 3D 结构
DOI：
10.1109/cvpr.1999.784643
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
Dmitry Goldgof
中科院分区：
文献类型：
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作者：
Lin Zhou;C. Kambhamettu;Dmitry Goldgof
通过气象卫星（GOES-8 和 GOES-9）捕获飓风路易斯的图像序列用于估计飓风顶部高度（结构）和飓风风（运动）。这个问题很困难，不仅因为缺乏对应性，而且因为二维飓风图像（缩放正交投影）中缺乏深度线索。在本文中，我们提出了一种结构和运动分析系统，称为 SMAS。在该系统中，飓风图像首先被分割成小方形区域。我们假设每个小区域都在经历类似的非刚性运动。首先定义了适合云运动的非刚性运动模型。然后，使用非线性最小二乘法拟合每个区域的非刚性运动模型，以估计结构、运动模型和3D非刚性运动对应关系。最后，提供了恢复的飓风顶部高度和风力以及误差分析。结构和 3D 运动对应关系均估计为亚像素精度。我们的结果非常令人鼓舞，并且在地球和空间科学中具有许多潜在的应用，特别是在天气预报的云模型中。
Image sequences capturing Hurricane Luis through meteorological satellites (GOES-8 and GOES-9) are used to estimate hurricane-top heights (structure) and hurricane winds (motion). This problem is difficult not only due to the absence of correspondence but also due to the lack of depth cues in the 2D hurricane images (scaled orthographic projection). In this paper, we present a structure and motion analysis system, called SMAS. In this system, the hurricane images are first segmented into small square areas. We assume that each small area is undergoing similar nonrigid motion. A suitable nonrigid motion model for cloud motion is first defined. Then, non-linear least-square method is used to fit the nonrigid motion model for each area in order to estimate the structure, motion model, and 3D nonrigid motion correspondences. Finally, the recovered hurricane-top heights and winds are presented along with an error analysis. Both structure and 3D motion correspondences are estimated to subpixel accuracy. Our results are very encouraging, and have many potential applications in earth and space sciences, especially in cloud models for weather prediction.