Title :
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
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;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896187
