基于多层马尔可夫模型的航空影像对中目标运动区域检测
Detection of object motion regions in aerial image pairs with a multilayer markovian model.
作者信息
Benedek Csaba, Szirányi Tamás, Kato Zoltan, Zerubia Josiane
机构信息
Distributed Events Analysis Research Group, Computer and Automation Research Institute, H-1111, Kende utca 13-17, Budapest, Hungary.
出版信息
IEEE Trans Image Process. 2009 Oct;18(10):2303-15. doi: 10.1109/TIP.2009.2025808. Epub 2009 Jun 19.
We propose a new Bayesian method for detecting the regions of object displacements in aerial image pairs. We use a robust but coarse 2-D image registration algorithm. Our main challenge is to eliminate the registration errors from the extracted change map. We introduce a three-layer Markov random field (L(3)MRF) model which integrates information from two different features, and ensures connected homogenous regions in the segmented images. Validation is given on real aerial photos.
我们提出了一种新的贝叶斯方法，用于检测航空影像对中目标位移的区域。我们使用了一种稳健但粗略的二维图像配准算法。我们面临的主要挑战是消除从提取的变化图中产生的配准误差。我们引入了一个三层马尔可夫随机场（L(3)MRF）模型，该模型整合了来自两种不同特征的信息，并确保分割图像中的区域是连通且均匀的。我们在真实的航空照片上进行了验证。
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