Data Assimilation with State Alignment Using High-level Image Structures Detection
2012年遥感计算机视觉国际会议——Sequential and variational assimilation methods allow tracking physical states using dynamic prior together with external observation of the studied system. However, when dense image satellite observations are available, such approaches realize a correction of the amplitude of the different state values but do not incorporate the spatial errors of structure positions. In the case of the position of a vortex, for example, when there is misfit between state and observation, the processes can be long to converge and even diverge when high dimensional state spaces are treated with few iterations of the assimilation methods as it is the case in operational algorithms. In this paper, we tackle this issue by proposing an alignment method based on modern object detection methods that uses visual correspondences between the physical state model and the structural information given by a sequence of image observing the phenomena.
关键词： 计算机 遥感 视觉 国际 2012年遥感计算机视觉国际会议
主讲人：Alexandros Makris 机构：INRIA Grenoble
时长：0:21:16 年代：2012年
热点排行
- 1 揭开土豆减肥的秘密
- 2 英语学习策略（1）
- 3 古兽重现
- 4 《图书馆与信息服务营销》先导片
- 5 Excel实战技巧精粹
- 6 恐龙绝灭与生态危机（1）
- 7 在路上
- 8 生物医学图像处理——绪言（1）
京公网安备11010802020237号 |