排序方式: 共有1条查询结果,搜索用时 0 毫秒
1
1.
Kasetkasem T. Varshney P.K. 《IEEE transactions on aerospace and electronic systems》2003,39(3):1035-1050
The problem of clutter region identification based on Markov random field (MRF) models is addressed. Observations inside each clutter region are assumed homogenous, i.e., observations follow a single probability distribution. Our goal is to partition clutter scenes into homogenous regions and to determine this underlying probability distribution. Metropolis-Hasting and reversible jump Markov chain (RJMC) algorithms are used to search for solutions based on the maximum a posteriori (MAP) criterion. Several examples illustrate the performance of our algorithm. 相似文献
1