Results 11 to 20 of about 1,087,010 (389)
An Experimental Study of the Accuracy and Change Detection Potential of Blending Time Series Remote Sensing Images with Spatiotemporal Fusion [PDF]
Remote Sensing, 2023 Over one hundred spatiotemporal fusion algorithms have been proposed, but convolutional neural networks trained with large amounts of data for spatiotemporal fusion have not shown significant advantages. In addition, no attention has been paid to whether
Jingbo Wei +3 more
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Comparison of Spatiotemporal Fusion Models: A Review [PDF]
Remote Sensing, 2015 Simultaneously capturing spatial and temporal dynamics is always a challenge for the remote sensing community. Spatiotemporal fusion has gained wide interest in various applications for its superiority in integrating both fine spatial resolution and frequent temporal coverage.
Bin Chen, Bo Huang, Bing Xu
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Spatiotemporal Image Fusion in Remote Sensing [PDF]
Remote Sensing, 2019 In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These methods fuse temporally sparse fine-resolution images with temporally dense coarse-resolution images. This review reveals that existing spatiotemporal data fusion methods are mainly dedicated to blending optical images. There is a limited number of studies focusing on
Mariana Belgiu, Alfred Stein
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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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A Multiscale Spatiotemporal Fusion Network Based on an Attention Mechanism
Remote Sensing, 2022 Spatiotemporal fusion is an effective and cost-effective method to obtain both high temporal resolution and high spatial resolution images. However, existing methods do not sufficiently extract the deeper features of the image, resulting in fused images which do not recover good topographic detail and poor fusion quality.
Zhiqiang Huang +7 more
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The Spatially Seamless Spatiotemporal Fusion Model Based on Generative Adversarial Networks
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSpatiotemporal fusion is a method of fusing high spatial resolution low temporal resolution remote sensing images and low spatial resolution high temporal resolution in order to obtain high spatiotemporal resolution remote sensing images, which can ...
ChenYang Weng +9 more
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A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis [PDF]
Remote Sensing, 2017 Interest has been growing with regard to the use of remote sensing data characterized by a fine spatial resolution and frequent coverage for the monitoring of land surface dynamics. However, current satellite sensors are fundamentally limited by a trade-off between their spatial and temporal resolutions.
Jing Wang, Bo Huang
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MSISR-STF: Spatiotemporal Fusion via Multilevel Single-Image Super-Resolution
Remote Sensing, 2023 Due to technological limitations and budget constraints, spatiotemporal image fusion uses the complementarity of high temporal–low spatial resolution (HTLS) and high spatial–low temporal resolution (HSLT) data to obtain high temporal and spatial ...
Xiongwei Zheng +5 more
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Remote Sensing, 2022 Remote sensing satellite images with a high spatial and temporal resolution play a crucial role in Earth science applications. However, due to technology and cost constraints, it is difficult for a single satellite to achieve both a high spatial ...
Dajiang Lei +3 more
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“Regression-then-Fusion” or “Fusion-then-Regression”? A Theoretical Analysis for Generating High Spatiotemporal Resolution Land Surface Temperatures [PDF]
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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