Satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena. One important feature of satellite images is the trade-off between spatial/spectral resolution and their revisiting time, a consequence of design and physical constraints imposed by satellite orbit among other technical limitations. In this paper, we focus on fusing multi-temporal, multi-spectral images where data acquired from different instruments with different spatial resolutions is used. We leverage the spatial relationship between images at multiple modalities to generate high-resolution image sequences at higher revisiting rates. To achieve this goal, we formulate the fusion method as a recursive state estimation problem and study its performance in filtering and smoothing contexts. The proposed strategy clearly outperforms competing methodologies, which is shown in the paper for real data acquired by the Landsat and MODIS instruments.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Online Multi-resolution Fusion of Space-borne Multispectral Images


    Contributors:


    Publication date :

    2022-03-05


    Size :

    4098222 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Fusion of airborne hyperspectral and multispectral images

    Zhukov, Boris / Oertel, Dieter / Strobl, Peter et al. | SPIE | 1996



    Multispectral image data fusion using POCS and super-resolution

    Aguena, M. L. / Mascarenhas, N. D. | British Library Online Contents | 2006


    Supervised Fusion - Classification of Multispectral Images Using Fuzzy Sets Theory

    Chitroub, S. / Houacine, A. / Sansal, B. et al. | British Library Conference Proceedings | 1999


    Multispectral intelligent fusion techniques

    Cappellini, V. / Mecocci, A. | British Library Online Contents | 1992