Results 261 to 270 of about 26,988,257 (328)
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ACM Computing Surveys, 2009
The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the
Jens Bleiholder, Felix Naumann
+4 more sources
The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the
Jens Bleiholder, Felix Naumann
+4 more sources
Cross-Scale Mixing Attention for Multisource Remote Sensing Data Fusion and Classification
IEEE Transactions on Geoscience and Remote Sensing, 2023Hyperspectral and multispectral images (HS/MS) fusion and classification as an important branch of data quality improvement and interpretation have attracted increasing attention in recent years.
Yunhao Gao +3 more
semanticscholar +1 more source
AM³Net: Adaptive Mutual-Learning-Based Multimodal Data Fusion Network
IEEE transactions on circuits and systems for video technology (Print), 2022Multimodal data fusion, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR) data fusion, plays an important role in object recognition and classification tasks.
Jinping Wang +4 more
semanticscholar +1 more source
Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion
IEEE Geoscience and Remote Sensing Letters, 2022Hyperspectral images (HSIs) usually have finer spectral resolution but coarser spatial resolution than multispectral images (MSIs). To obtain a desired HSI with higher spatial resolution, great research attention has been paid to achieving hyperspectral ...
Jiaxin Li +4 more
semanticscholar +1 more source
Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-Based Systems
IEEE Internet of Things Journal, 2021Blockchain technology is rapidly changing the transaction behavior and efficiency of businesses in recent years. Data privacy and system reliability are critical issues that is highly required to be addressed in Blockchain environments.
W. Liang +5 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Magazine, 2022
In the past decades, remote sensing (RS) data fusion has always been an active research community. A large number of algorithms and models have been developed.
Peng Liu, Jun Yu Li, Lizhe Wang, G. He
semanticscholar +1 more source
In the past decades, remote sensing (RS) data fusion has always been an active research community. A large number of algorithms and models have been developed.
Peng Liu, Jun Yu Li, Lizhe Wang, G. He
semanticscholar +1 more source
A Survey on Deep Learning for Multimodal Data Fusion
Neural Computation, 2020With the wide deployments of heterogeneous networks, huge amounts of data with characteristics of high volume, high variety, high velocity, and high veracity are generated.
Jing Gao +3 more
semanticscholar +1 more source
Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors
Information FusionIn the era of big data and artificial intelligence, healthcare data fusion analysis has become difficult because of the large amounts and different types of sources involved.
Jianhui Lv +4 more
semanticscholar +1 more source
Multi-Sensor Measurement and Data Fusion
IEEE Instrumentation & Measurement Magazine, 2022There is a growing demand for a reliable and comprehensive measurement of critical quantities in modern industry. As any individual sensor or measurement does not reflect the overall properties of the object, the use of multiple sensors becomes essential.
Zheng Liu +3 more
semanticscholar +1 more source
Electronics & Communication Engineering Journal, 1997
Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
openaire +1 more source
Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
openaire +1 more source