Results 11 to 20 of about 54,901 (283)
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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Spatiotemporal Fusion With Only Two Remote Sensing Images as Input [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Spatiotemporal data fusion is an effective way of generating a dense time series with a high spatial resolution. Traditionally, the spatiotemporal fusion models, especially the popular ones such as the spatial and temporal adaptive reflectance fusion ...
Jingan Wu +5 more
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A hierarchical spatiotemporal adaptive fusion model using one image pair
International Journal of Digital Earth, 2017 Image fusion techniques that blend multi-sensor characteristics to generate synthetic data with fine resolutions have generated great interest within the remote sensing community.
Bin Chen, Bo Huang, Bing Xu
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Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images [PDF]
Sensors, 2018 Although Worldview-2 (WV) images (non-pansharpened) have 2-m resolution, the re-visit times for the same areas may be seven days or more. In contrast, Planet images are collected using small satellites that can cover the whole Earth almost daily. However, the resolution of Planet images is 3.125 m.
Kwan, Chiman +12 more
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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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A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion [PDF]
Remote Sensing, 2021 Dense time-series remote sensing data with detailed spatial information are highly desired for the monitoring of dynamic earth systems. Due to the sensor tradeoff, most remote sensing systems cannot provide images with both high spatial and temporal resolutions.
Zijun Yang, Chunyuan Diao, Bo Li
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An object-based spatiotemporal fusion model for remote sensing images [PDF]
European Journal of Remote Sensing, 2021 Spatiotemporal fusion technique can combine the advantages of temporal resolution and spatial resolution of different images to achieve continuous monitoring for the Earth’s surface, which is a feasible solution to resolve the trade-off between the temporal and spatial resolutions of remote sensing images.
Hua Zhang +4 more
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Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Medium spatial resolution surface reflectance image series from the combination of Landsat-8 Operational Land Imager and Sentinel-2 Multispectral Imager observations have great importance to the land surface monitoring tasks, for which great efforts have
Yunfei Li +6 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Spatiotemporal fusion of land surface temperature (LST) has a vital significance in studying the temporal and spatial variation of urban heat islands.
Chenlie Shi +4 more
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A Multi-Cooperative Deep Convolutional Neural Network for Spatiotemporal Satellite Image Fusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Remote sensing satellite images with high temporal and high spatial resolution play a critical role in earth science applications. However, it is difficult for a single satellite to obtain such images due to technical and cost constraints.
Weisheng Li +3 more
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