Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images [PDF]
SensorsRemote sensing images captured by satellites play a critical role in Earth observation (EO). With the advancement of satellite technology, the number and variety of remote sensing satellites have increased, which provide abundant data for precise ...
Zilong Lian +5 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 ...
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.
Mariana Belgiu, Alfred Stein
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Physical Graph-Based Spatiotemporal Fusion Approach for Process Fault Diagnosis [PDF]
ACS OmegaThe rapid development of big data technology and machine learning has increasingly focused attention on fault diagnosis in complex chemical processes. However, data-driven approaches often overlook the inherent physical correlations within the system and
Fengzhen Zhang +4 more
semanticscholar +2 more sources
Mamba-STFM: A Mamba-Based Spatiotemporal Fusion Method for Remote Sensing Images
Remote SensingSpatiotemporal fusion techniques can generate remote sensing imagery with high spatial and temporal resolutions, thereby facilitating Earth observation.
Qiyuan Zhang +5 more
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Monitoring Mangrove Phenology Based on Gap Filling and Spatiotemporal Fusion: An Optimized Mangrove Phenology Extraction Approach (OMPEA) [PDF]
Remote SensingMonitoring mangrove phenology requires frequent, high-resolution remote sensing data, yet satellite imagery often suffers from coarse resolution and cloud interference.
Yu Hong +7 more
semanticscholar +2 more sources
“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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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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ENSO Forecasts with Spatiotemporal Fusion Transformer Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe El Niño-Southern Oscillation (ENSO) is a global significant signal in marine science and exerts substantial climatic and socioeconomic impacts worldwide. However, the long-term prediction of ENSO remains a challenge because of its diversity, irregularity and asymmetry.
Anming Zhao, Zhenhong Du
semanticscholar +4 more sources
Remote Sensing, 2018 Spatiotemporal fusion methods are considered a useful tool for generating multi-temporal reflectance data with limited high-resolution images and necessary low-resolution images.
Dacheng Li +7 more
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