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Spatiotemporal Fusion Networks for Video Action Recognition
Neural Processing Letters, 2019Learning spatiotemporal information is a fundamental part in action recognition. In this work, we attempt to extract efficient spatiotemporal information for video representation through a novel architecture, termed as SpatioTemporal Fusion Networks (STFN).
Zheng Liu, Haifeng Hu, Junxuan Zhang
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SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer
IEEE Transactions on Geoscience and Remote Sensing, 2022Remote sensing images with high temporal and spatial resolutions have broad market demands and various application scenarios. This article aims to generate high-quality remote sensing image time series for feature mining of the growth quality of ...
Guanyu Chen +4 more
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Ritual Renewal and Spatiotemporal Fusion
2022This chapter examines the diasporic relationship through the lens of ritual. It traces how the revival of ancestor worship from 1981 was actually its relocalization, since its practice was moved overseas during the period when it was prohibited on the mainland.
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Spatiotemporal Enhancement and Interlevel Fusion Network for Remote Sensing Images Change Detection
IEEE Transactions on Geoscience and Remote SensingRemote sensing (RS) image change detection (CD) plays a crucial role in monitoring surface dynamics; however, current deep learning (DL)-based CD methods still suffer from pseudo changes and scale variations due to inadequate exploration of temporal ...
Yanyuan Huang +3 more
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IEEE Geoscience and Remote Sensing Letters
Nighttime light (NTL) remote sensing images record various light information. However, it is often difficult for NTL remote sensing images to have both high temporal and high spatial resolution.
Yi Zeng, Boya Gao, Peng Liu, Xinyi Zhao
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Nighttime light (NTL) remote sensing images record various light information. However, it is often difficult for NTL remote sensing images to have both high temporal and high spatial resolution.
Yi Zeng, Boya Gao, Peng Liu, Xinyi Zhao
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Target detection and recognition improvements by use of spatiotemporal fusion
Applied Optics, 2004We developed spatiotemporal fusion techniques for improving target detection and automatic target recognition. We also investigated real IR (infrared) sensor clutter noise. The sensor noise was collected by an IR (256 x 256) sensor looking at various scenes (trees, grass, roads, buildings, etc.).
Teresa L. P. Olson +2 more
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Wuhan Dataset: A High-Resolution Dataset of Spatiotemporal Fusion for Remote Sensing Images
IEEE Geoscience and Remote Sensing LettersThe spatiotemporal fusion is a valid way to provide Earth observation applications with remote sensing images with both high temporal and high spatial resolution. Along with the advancement of remote sensing technology, many spatiotemporal fusion methods
Xingjian Zhang +5 more
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IEEE Transactions on Geoscience and Remote Sensing, 2021
Due to the tradeoff between spatial and temporal resolutions of remote sensing images, spatiotemporal fusion models were proposed to synthesize the high spatiotemporal image series.
Zhenyu Tan +3 more
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Due to the tradeoff between spatial and temporal resolutions of remote sensing images, spatiotemporal fusion models were proposed to synthesize the high spatiotemporal image series.
Zhenyu Tan +3 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2022
Spatiotemporal fusion technique provides a cost-efficient way to achieve dense time series observation. Among all categories of spatiotemporal fusion methods, the weight function-based method attracted considerable attention. However, this kind of method
Dizhou Guo, W. Shi, Hua Zhang, M. Hao
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Spatiotemporal fusion technique provides a cost-efficient way to achieve dense time series observation. Among all categories of spatiotemporal fusion methods, the weight function-based method attracted considerable attention. However, this kind of method
Dizhou Guo, W. Shi, Hua Zhang, M. Hao
semanticscholar +1 more source
Remote Sensing Letters
Due to the limitations inherent in satellite sensor capabilities, it remains a challenge to balance the temporal and spatial resolutions of current remote sensing observations. Spatiotemporal fusion has emerged as a viable approach to address this issue.
Yumin Li +4 more
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Due to the limitations inherent in satellite sensor capabilities, it remains a challenge to balance the temporal and spatial resolutions of current remote sensing observations. Spatiotemporal fusion has emerged as a viable approach to address this issue.
Yumin Li +4 more
semanticscholar +1 more source