@inproceedings{0748fbaffd214b978d1d8f56f80f826e,
title = "The fusion of multisensor images with multi-resolutions",
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 = "Image fusion, multiresolution, multiscale Kalman filter, state space model",
author = "Liping Yan and Bo Xiao and Yuanqing Xia and Meiling Wang and Mengyin Fu",
note = "Publisher Copyright: {\textcopyright} 2014 TCCT, CAA.; Proceedings of the 33rd Chinese Control Conference, CCC 2014 ; Conference date: 28-07-2014 Through 30-07-2014",
year = "2014",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2014.6896187",
language = "English",
series = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",
publisher = "IEEE Computer Society",
pages = "7183--7188",
editor = "Shengyuan Xu and Qianchuan Zhao",
booktitle = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",
address = "United States",
}