Abstract The paper presents multi-sensor image fusion and its relevant framework and technical characteristics. The image fusion is divided into three level fusions: pixel level, feature level and decision level. It mainly discusses the image fusion algorithm at all levels of fusion, and then makes the summary and comparison of these algorithms. Since the high-level algorithms are related to some relevant practical applications of the image fusion, it is in general difficult to be summarized. So this paper also presents some typical algorithms of the feature and decision levels from the perspective of the applications, to provide the necessary summary of the high level image fusion algorithm. Further, the three levels of implementation schemes are described, followed by the comparison and summary for the image evaluation criteria of the fusion method. Some problems and future directions about the multi-sensor image fusion are finally given.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Survey of Multi-sensor Image Fusion

    Wu, D. / Yang, A. / Zhu, L. et al. | British Library Conference Proceedings | 2014


    Multi-Sensor Image Fusion

    Zhou, Y. T. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Multi-Sensor Image Fusion using the Wavelet Transform

    Li, H. / Manjunath, B. S. / Mitra, S. K. et al. | British Library Conference Proceedings | 1994


    MULTI-LEVEL SENSOR FUSION

    ODER RAINER / GEIGER ANDREAS ERICH / MERCEP LJUBO et al. | European Patent Office | 2018

    Free access

    Multi-Sensor Fusion Localization

    Zhang, Xinyu / Li, Jun / Li, Zhiwei et al. | Springer Verlag | 2023