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- W2514340250 abstract "Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio–temporal–spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio–spectral fusion, and spatio–temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio–temporal–spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Systeme Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method." @default.
- W2514340250 created "2016-09-16" @default.
- W2514340250 creator A5018282808 @default.
- W2514340250 creator A5036283525 @default.
- W2514340250 creator A5064776886 @default.
- W2514340250 date "2016-12-01" @default.
- W2514340250 modified "2023-10-17" @default.
- W2514340250 title "An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images" @default.
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- W2514340250 doi "https://doi.org/10.1109/tgrs.2016.2596290" @default.
- W2514340250 hasPublicationYear "2016" @default.
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