基于变权马尔可夫随机场的遥感图像变化检测  

CHANGE DETECTION OF REMOTE SENSING IMAGES BASED ON VARIABLE WEIGHT MARKOV RANDOM FIELD

作　　者：高鹏翔 Gao Pengxiang(Institute of Computer Application,China Academy of Engineering Physics,Mianyang 621900,Sichuan,China)

机构地区：[1]中国工程物理研究院计算机应用研究所,四川绵阳621900

出　　处：《计算机应用与软件》2021年第5期208-212,262,共6页Computer Applications and Software

摘　　要：遥感图像变化检测通过分析比较不同时相所获得的遥感图像来获取变化信息,目前已经成为对地监测最有效的手段。针对传统马尔可夫随机场遥感图像变化检测算法的不足,提出一种基于变权马尔可夫随机场的遥感图像变化检测算法。该算法重新定义了马尔可夫能量函数的计算过程。实验结果表明该算法是一种有效、精确的变化检测算法。Change detection of remote sensing images acquires change information by analyzing and comparing remote sensing images obtained from different phases.It has become the most effective means of monitoring the ground.Aiming at the shortcomings of traditional Markov random field remote sensing image change detection algorithm,this paper proposes a remote sensing image change detection algorithm based on variable weight Markov random field.It redefined the calculation process of Markov energy function.The experimental results show that the algorithm is an effective and accurate change detection algorithm.

关 键 词：变化检测 遥感图像 马尔可夫随机场 模糊C均值聚类 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]