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Spatiotemporal Data Fusion Using Temporal High-Pass Modulation and Edge Primitives
IEEE Transactions on Geoscience and Remote Sensing, 2015Most spaceborne sensors have a tradeoff between high spatial and high temporal resolutions. This tradeoff limits the use of remote sensing data in various applications that require images in both the high spatial and high temporal resolutions. In this paper, we propose a novel technique to create a fine spatial and high temporal resolution images at a ...
J. Malleswara Rao +4 more
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Using 250-m MODIS Data for Enhancing Spatiotemporal Fusion by Sparse Representation
Photogrammetric Engineering & Remote Sensing, 2020Spatiotemporal fusion is an important technique to solve the problem of incompatibility between the temporal and spatial resolution of remote sensing data. In this article, we studied the fusion of Landsat data with fine spatial resolution but coarse temporal resolution and Moderate Resolution Imaging Spectroradiometer (MODIS) data with coarse spatial
Liguo Wang, Xiaoyi Wang, Qunming Wang
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A Review of Spatiotemporal Super-Resolution Mapping for Remote Sensing Data Fusion
IEEE Journal on Miniaturization for Air and Space Systems, 2022At present, due to the limitations of satellite launch cost and existing technology, it is scarcely possible to obtain single remotely sensed images with both fine spatial resolution and high temporal resolution at the same time freely. For solving this kind of predicament, an effective method is to fuse multi-source remote sensing data by using ...
Yue Li +4 more
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A New Spatiotemporal Data Fusion Method to Reconstruct High-Quality Landsat Ndvi Time-Series Data
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021Landsat NDVI time-series data have great potential in global change research. However, Landsat NDVI time-series data are quite discontinuous due to frequent cloud contamination. Although spatiotemporal data fusion technology has been widely used to reconstruct Landsat NDVI time-series data, the existing spatiotemporal fusion methods usually ignore the ...
Xiaofang Ling, Ruyin Cao
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Geo-Data Fusion Integrator for Object-Oriented Spatiotemporal OLAP Cubes
2014 Fifth International Conference on Computing for Geospatial Research and Application, 2014We first propose a Geo-Data Fusion Integrator. Specifically, we design a sequential-parallel-modularized (SPM) approach to integrate different datasets into a geo-data object, i.e., a multidimensional unified-OLAP cube, archived in a geo-data warehouse for decision-making analysis. Different datasets of geo-data objects are processed in parallel across
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Land Surface and Cryosphere Remote Sensing IV, 2018
The recent emergence of spaceborne Solar-Induced chlorophyll Fluorescence (SIF) represents a major breakthrough in understanding, monitoring and quantifying global carbon cycle variability and change. However, the existing spaceborne SIF products are typically noisy, coarse and sparse in both time and space coverage, thus are not suitable for regional ...
Yun Liu +3 more
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The recent emergence of spaceborne Solar-Induced chlorophyll Fluorescence (SIF) represents a major breakthrough in understanding, monitoring and quantifying global carbon cycle variability and change. However, the existing spaceborne SIF products are typically noisy, coarse and sparse in both time and space coverage, thus are not suitable for regional ...
Yun Liu +3 more
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Simultaneous Spatiotemporal Bias Compensation and Data Fusion for Asynchronous Multisensor Systems
Chinese Journal of Information FusionBias estimation of sensors is an essential prerequisite for accurate data fusion. Neglect of temporal bias in general real systems prevents the existing algorithms from successful application. In this paper, both spatial and temporal biases in asynchronous multisensor systems are investigated and two novel methods for simultaneous spatiotemporal bias ...
Gongjian Zhou +2 more
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Sequential Spatiotemporal Bias Compensation and Data Fusion for Maneuvering Target Tracking
IEEE Transactions on Aerospace and Electronic Systems, 2023Shizhe Bu, Gongjian Zhou
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A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022Pai-Chuan Chang +4 more
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Spatiotemporal data fusion and manifold reconstruction in Hall thrusters
Plasma Sources Science and Technology, 2019Daniel Eckhardt +4 more
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