The Fusion of Multisensor Images with Multi-resolutions

摘要：

　　Images taken by different sensors at different time instant with different resolutions are formulated by state space models,and are fused by use of Multiscale Kalman Filter(MKF).The effectiveness of the presented algorithm is shown by comparing it with the wavelet based method through experiments,where four performance measures are used.The performance evaluation indices are the root mean square errors(RMSE),the information entropy(Entropy),the space frequency(SF)and the space visibility(SV).Theretical analysis and experimental results show the effectiveness of the presented algorithm.

关键词： Image fusion multiresolution multiscale Kalman filter state space model

作者: Liping Yan Bo Xiao Yuanqing Xia Meiling Wang Mengyin Fu

作者单位: School of Automation,Key Laboratory of Intelligent Control and Decision of Complex Systems,Beijing I School of Information and Communication Engineering,Beijing University of Posts and Telecommunicatio

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7183-7188

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）