The fusion of multisensor images with multi-resolutions

Author

Liping Yan ; Bo Xiao ; Yuanqing Xia ; Meiling Wang ; Mengyin Fu

Author_Institution

Key Lab. of Intell. Control & Decision of Complex Syst., Beijing Inst. of Technol., Beijing, China

fYear

2014

fDate

28-30 July 2014

Firstpage

7183

Lastpage

7188

Abstract

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.

Keywords

Kalman filters; entropy; image fusion; image resolution; performance evaluation; wavelet transforms; MKF; RMSE; SF; SV; information entropy; multiresolutions; multiscale Kalman filter; multisensor image fusion; performance evaluation indices; performance measures; root mean square errors; sensors; space frequency; space visibility; state space models; wavelet based method; Entropy; Image fusion; Image resolution; Image sensors; Noise; Sensor fusion; Image fusion; multiresolution; multiscale Kalman filter; state space model;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6896187

Filename

6896187