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High-precision estimation of urban green-space carbon sink capacity via deep spatiotemporal remote-sensing fusion

P. C. Jiang
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Spatiotemporal Fusion via Conditional Diffusion Model

IEEE Geoscience and Remote Sensing Letters
Spatiotemporal fusion aims to reconstruct sequence remote sensing images in an economically efficient way, for which we observe that the sensor and scale errors can approach the distribution of Gaussian noise.
Yaobin Ma, Qi Wang, Jingbo Wei
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SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer

IEEE Transactions on Geoscience and Remote Sensing, 2022
Remote 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, Peng Jiao, Qing Hu, Linjie Xiao, Zijian Ye   +4 more
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Spatiotemporal Reflectance Fusion via Tensor Sparse Representation

IEEE Transactions on Geoscience and Remote Sensing, 2022
Tradeoffs between the spatial and temporal resolutions of current satellite instruments limit our ability to conduct high-quality and continuous monitoring of the earth's surface dynamics. Spatiotemporal image fusion has become increasingly necessary to obtain remote sensing images with high spatiotemporal resolution.
Yidong Peng, Weisheng Li, Xiaobo Luo, Jiao Du, Xiayan Zhang, Yi Gan, Xinbo Gao   +6 more
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Touch Gesture Recognition Using Spatiotemporal Fusion Features

IEEE Sensors Journal, 2022
The touch gesture is one of the most essential and effective means to transfer affective feelings and intents in humans’ communication. For an intelligent agent or a robot, the ability to automatically detect and recognize human touch can realize efficient and natural human–robot interaction.
Yun-Kai Li, Qing-Hao Meng, Hong-Wei Zhang   +2 more
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Spatiotemporal Fusion Transformer for large-scale traffic forecasting

Information Fusion
Zhenghong Wang, Yi Wang, Furong Jia, Fan Zhang, Nikita Klimenko, Leye Wang, Zhengbing He, Zhou Huang, Yu Liu   +8 more
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3DSF: three-dimensional spatiotemporal fusion

SPIE Proceedings, 2011
In this paper we explore image fusion methods for 3D LIDAR sensors, thermal sensors, and visible color sensors. Traditional display methods are demonstrated in contrast to the proposed robust representations. The new fused representations make full use of the display gamut of a color monitor.
Matthew S. Baran, Richard L. Tutwiler, David L. Hall, Donald J. Natale   +3 more
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Enhanced Spatiotemporal Fusion via MODIS-Like Images

IEEE Transactions on Geoscience and Remote Sensing, 2022
Spatiotemporal fusion (STF) aims at generating remote-sensing data with both high spatial and temporal resolution. In the literature, one of the most widely used strategies to accomplish this goal is to fuse high temporal resolution images collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) with images with finer spatial resolution ...
Jun Li, Yunfei Li, Runlin Cai, Lin He, Jin Chen, Antonio Plaza   +5 more
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