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An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion

Remote Sensing, 2019
Earth observation data with high spatiotemporal resolution are critical for dynamic monitoring and prediction in geoscience applications, however, due to some technique and budget limitations, it is not easy to acquire satellite images with both high ...
Zhenyu Tan, Liping Di, Mingda Zhang
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Knowledge Fusion and Spatiotemporal Data Cleaning: A Review

2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC), 2020
Knowledge fusion is aimed to establish the relationship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the key technologies for solving knowledge fusion problems. In this paper, we provide a brief survey of knowledge fusion and data cleaning.
Huchen Zhou, Mohan Li, Zhaoquan Gu
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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
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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 data fusion and manifold reconstruction in Hall thrusters*

Plasma Sources Science and Technology, 2019
Abstract A critical breakthrough in the understanding of Hall effect thrusters (HETs) has been the emergence of mapping techniques to fuse multiple time-varying plasma measurements from spatially distributed probes into a unified reconstruction describing the full spatiotemporal dynamics of the HET plasma.
Daniel Eckhardt, Justin Koo, Robert Martin, Michael Holmes, Kentaro Hara   +4 more
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Generating Full Spatiotemporal Vehicular Paths

Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020
Vehicular path flow (trajectories) is an important data source for smart mobility, from which many road traffic parameters can be inferred. However, it has been a long-existing challenge that single source of trajectory data is biased in terms of its spatiotemporal coverage.
Nan Xiao 0001, Nan Hu 0011, Liang Yu 0005, Cheng Long 0001   +3 more
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Fast spatiotemporal data fusion: merging LISS III with AWiFS sensor data

International Journal of Remote Sensing, 2014
The high resolution of remote sensors has evolved to capture the fine details of the Earth’s surface features in remote-sensing (RS) data. There is a trade-off between this fine spatial resolution and the temporal resolution of global space-borne sensors.
C.V. Rao, J. Malleswara Rao, A. Senthil Kumar, V.K. Dadhwal   +3 more
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Spatiotemporal Data Fusion Using Temporal High-Pass Modulation and Edge Primitives

IEEE Transactions on Geoscience and Remote Sensing, 2015
Most spaceborne sensors have a tradeoff between high spatial and high temporal resolutions. This tradeoff limits the use of remote sensing data in various applications that require images in both the high spatial and high temporal resolutions. In this paper, we propose a novel technique to create a fine spatial and high temporal resolution images at a ...
J. Malleswara Rao, Ch Venkateswara Rao, A. Senthil Kumar, B. Lakshmi, V. K. Dadhwal   +4 more
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A Review of Spatiotemporal Super-Resolution Mapping for Remote Sensing Data Fusion

IEEE Journal on Miniaturization for Air and Space Systems, 2022
At present, due to the limitations of satellite launch cost and existing technology, it is scarcely possible to obtain single remotely sensed images with both fine spatial resolution and high temporal resolution at the same time freely. For solving this kind of predicament, an effective method is to fuse multi-source remote sensing data by using ...
Yue Li, Lizhe Wang, Xinlong Liu, Qiannian Chu, Xiaohong Yang   +4 more
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An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications

Remote Sensing, 2019
Spatiotemporal data fusion is a key technique for generating unified time-series images from various satellite platforms to support the mapping and monitoring of vegetation. However, the high similarity in the reflectance spectrum of different vegetation
Hongcan Guan, Yanjun Su, Tianyu Hu
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