Results 11 to 20 of about 78,652 (284)
An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM [PDF]
Remote Sensing, 2020 The use of the spatiotemporal data fusion method as an effective data interpolation method has received extensive attention in remote sensing (RS) academia.
Mengxue Liu +6 more
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Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction [PDF]
IEEE Access, 2020 A plethora of information is now readily available for traffic prediction, making an effective use of them enables better traffic planning. With data coming from multiple sources, and their features spanning spatial and temporal dimensions, there is an increasing demand to exploit them for accurate traffic prediction.
Baoxin Zhao +4 more
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Remote Sensing, 2021 High-frequency monitoring of suspended particulate matter (SPM) concentration can improve water resource management. Missing high-resolution satellite images could hamper remote-sensing SPM monitoring.
Changjiang Liu +5 more
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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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Remote Sensing, 2020 Many spatiotemporal image fusion methods in remote sensing have been developed to blend highly resolved spatial images and highly resolved temporal images to solve the problem of a trade-off between the spatial and temporal resolution from a single ...
Shuwei Hou +6 more
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Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard [PDF]
Sensors, 2020 Forest fires are a natural phenomenon which might have severe implications on natural and anthropogenic ecosystems. Future projections predict that, under a climate change environment, the fire season would be lengthier with higher levels of droughts, leading to higher fire severity.
Stavros Sakellariou +8 more
openaire +4 more sources
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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Spatiotemporal Image Fusion in Remote Sensing
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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Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation [PDF]
, 2019 In recent years, many spatial and temporal satellite image fusion (STIF) methods have been developed to solve the problems of trade-off between spatial and temporal resolution of satellite sensors.
Chen, Xiuwan +4 more
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LiDAR-Based Real-Time Panoptic Segmentation via Spatiotemporal Sequential Data Fusion
Remote Sensing, 2022 Fast and accurate semantic scene understanding is essential for mobile robots to operate in complex environments. An emerging research topic, panoptic segmentation, serves such a purpose by performing the tasks of semantic segmentation and instance segmentation in a unified framework.
Weiqi Wang +6 more
openaire +2 more sources