图 书 馆
洪水范围图的地理隐马尔可夫树Geographical Hidden Markov Tree for Flood Extent Mapping |
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| 课程网址: | http://videolectures.net/kdd2018_jiang_geographical_markov/ |
| 主讲教师: | Zhe Jiang |
| 开课单位: | 阿拉巴马大学 |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Flood extent mapping plays a crucial role in disaster management and national water forecasting. Unfortunately, traditional classification methods are often hampered by the existence of noise, obstacles and heterogeneity in spectral features as well as implicit anisotropic spatial dependency across class labels. In this paper, we propose geographical hidden Markov tree, a probabilistic graphical model that generalizes the common hidden Markov model from a one dimensional sequence to a two dimensional map. Anisotropic spatial dependency is incorporated in the hidden class layer with a reverse tree structure. We also investigate computational algorithms for reverse tree construction, model parameter learning and class inference. Extensive evaluations on both synthetic and real world datasets show that proposed model outperforms multiple baselines in flood mapping, and our algorithms are scalable on large data sizes. |
| 关 键 词: | 灾害管理; 概率图形模型; 广泛评估 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-06：chenjy |
| 最后编审: | 2023-03-06：chenjy |
| 阅读次数: | 27 |