Results 1 to 10 of about 31,201 (159)
The Spatiotemporal Data Fusion (STDF) Approach: IoT-Based Data Fusion Using Big Data Analytics [PDF]
Sensors, 2021 Enormous heterogeneous sensory data are generated in the Internet of Things (IoT) for various applications. These big data are characterized by additional features related to IoT, including trustworthiness, timing and spatial features.
Dina Fawzy, Sherin Moussa, Nagwa Badr
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BICAR: a new algorithm for multiresolution spatiotemporal data fusion. [PDF]
PLoS ONE, 2012 We introduce a method for spatiotemporal data fusion and demonstrate its performance on three constructed data sets: one entirely simulated, one with temporal speech signals and simulated spatial images, and another with recorded music time series and ...
Kevin S Brown +2 more
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A COMPARATIVE ANALYSIS OF SPATIOTEMPORAL DATA FUSION MODELS FOR LANDSAT AND MODIS DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectance fusion model (STARFM), sparse representation based ...
K. Hazaymeh, A. Almagbile
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A Rigorously-Incremental Spatiotemporal Data Fusion Method for Fusing Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The spatiotemporal remote sensing images have significant importance in forest ecological monitoring, forest carbon management, and other related fields. Spatiotemporal data fusion technology of remote sensing images combines high spatiotemporal and high
Weipeng Jing +7 more
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Improving spatiotemporal data fusion method in multiband images by distributing variates. [PDF]
Sci RepSeveral spatiotemporal data fusion methods have been developed to generate continuous fine-resolution satellite imagery using widely available datasets. This study introduces the Residual Distribution-based Spatiotemporal Data Fusion Method (RDSFM), designed to enhance fusion accuracy. RDSFM addresses residuals caused by spatial and temporal variations,
Jin Y, Yin Z, Zhu W, Lee D.
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Remote Sensing, 2021 Remote sensing products with high temporal and spatial resolution can be hardly obtained under the constrains of existing technology and cost.
Weisheng Li +3 more
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Remote Sensing, 2018 The trade-off between spatial and temporal resolutions in satellite sensors has inspired the development of numerous thermal sharpening methods. Specifically, regression and spatiotemporal fusion are the two main strategies used to generate high ...
Haiping Xia +3 more
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VSDF: A variation-based spatiotemporal data fusion method
Remote Sensing of Environment, 2022 Xiaoping Du +2 more
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Remote Sensing, 2022 With the development of multisource satellite platforms and the deepening of remote sensing applications, the growing demand for high-spatial resolution and high-temporal resolution remote sensing images has aroused extensive interest in spatiotemporal ...
Hongwei Zhang +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Monitoring ice/snow surface temperature (IST) variations with high spatial and temporal resolution data from satellites are essential for research on the mass balance of the Greenland ice sheet (GrIS).
Qing Cheng +3 more
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