Results 311 to 320 of about 1,146,451 (358)

Spatiotemporal Data Cleaning and Knowledge Fusion

2021
Knowledge fusion aims to establish the relation-ship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the underlying key technologies supporting knowledge fusion. In this chapter, we give a brief overview of some important technologies of knowledge fusion and data cleaning. We first briefly introduce the motivation and
Huchen Zhou, Mohan Li, Zhaoquan Gu, Zhihong Tian   +3 more
openaire   +1 more source

Ritual Renewal and Spatiotemporal Fusion

2022
This 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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A modified flexible spatiotemporal data fusion model

Frontiers of Earth Science, 2020
Remote sensing spatiotemporal fusion models blend multi-source images of different spatial resolutions to create synthetic images with high resolution and frequency, contributing to time series research where high quality observations are not available with sufficient frequency.
Jia Tang, Jingyu Zeng, Li Zhang, Rongrong Zhang, Jinghan Li, Xingrong Li, Jie Zou, Yue Zeng, Zhanghua Xu, Qianfeng Wang, Qing Zhang   +10 more
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Spatiotemporal-Spectral Fusion for Gaofen-1 Satellite Images

IEEE Geoscience and Remote Sensing Letters, 2022
Due to the limitations of hardware technology, satellite sensors cannot obtain images with high temporal, spatial, and spectral resolutions at the same time. Current spatiotemporal fusion methods try to solve the contradiction between temporal resolution and spatial resolution, which cannot achieve good reconstruction accuracy partly because the data ...
Jingbo Wei, Huan Yang, Wenchao Tang, Qize Li   +3 more
openaire   +1 more source

A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities

Information Fusion
Remote sensing spatiotemporal fusion (STF) addresses the fundamental trade-off between temporal and spatial resolution by combining high temporal-low spatial and high spatial-low temporal imagery.
Enzhe Sun, Yongchuan Cui, Peng Liu, Jining Yan   +3 more
semanticscholar   +1 more source

CAFE: A Cross-Attention Based Adaptive Weighting Fusion Network for MODIS and Landsat Spatiotemporal Fusion

IEEE Geoscience and Remote Sensing Letters, 2023
Dense medium-resolution images play an important role in time-series geoscience applications. However, due to technical limitations, remote sensing imaging systems inevitably trade off temporal frequency and spatial swaths, resulting in difficulties to ...
Liupeng Lin, Yao Shen, Jingan Wu, Fang Nan   +3 more
semanticscholar   +1 more source

Adaptive spatiotemporal multiple sensor fusion

Optical Engineering, 2003
We have developed and applied a spatiotemporal fusion framework that uses different fusion strategies across time frames (temporal fusion) as well as between sensors (spatial fusion). We have developed, at the feature level, new and different fusion strategies (additive and minmax fusion) in addition to the traditional strategies (multiplicative, min ...
openaire   +1 more source

A Two-Stage Hierarchical Spatiotemporal Fusion Network for Land Surface Temperature With Transformer

IEEE Transactions on Geoscience and Remote Sensing
The potential applications of high spatiotemporal resolution land surface temperature (LST) products are extensive. However, the tradeoff between spatial and temporal resolutions of remote sensing data has significantly constrained the availability of ...
Penghua Hu, Xin Pan, Yingbao Yang, Yang Dai, Yuncheng Chen   +4 more
semanticscholar   +1 more source

The GAN Spatiotemporal Fusion Model Based on Multiscale Convolution and Attention Mechanism for Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High spatial and temporal resolution remote sensing images are essential for monitoring vegetation, natural disasters, and changes in the ground surface.
Youping Xie, Jun Hu, Kang He, Li Cao, Kaijun Yang, Luo Chen   +5 more
semanticscholar   +1 more source

StfMLP: Spatiotemporal Fusion Multilayer Perceptron for Remote-Sensing Images

IEEE Geoscience and Remote Sensing Letters, 2023
Remote-sensing (RS) images with high spatial and temporal resolutions play a significant role in monitoring periodic landscape changes for earth observation science. To enrich RS images, spatiotemporal fusion (STF) is considered a promising approach. The
Guangsheng Chen, Hailiang Lu, Donglin Di, Linhui Li, M. Emam, Weipeng Jing   +5 more
semanticscholar   +1 more source