multi-source heterogeneitysensorsgaussian distributionSensors as the sensing end of intelligent control can be used to collect various data instead of human beings. In the context of technological development, the variety of sensors leads to multiple and structurally unequal data sources, and fusion of...
Aiming at the multi-source heterogeneous data fusion problem of landslide monitoring,a multi-source heterogeneous monitoring data fusion algorithm based on BP neural network is proposed in this paper. The temperature,humidity,wind power,cloudiness,precipitation and accumulated precipitation which affect the...
The general sensing of Internet of Things(IoT) brings magnanimous sensing data, which shows signifcant multi-source heterogeneous property. How to process the multi-sourceheterogeneous sensing data intelligently and efciently is a challenging problem. Although data fusion is considered an efective approa...
in the Context of Big Data, Combined with Deep Learning, This Paper Discusses the Problem of Multi-Source Heterogeneous Image Data Fusion. Based on the Basic Framework of Data Fusion, a Depth Generalization Model of Multi-Source and Heterogeneous Image Data Fusion is Designed. the Deep Learning ...
【Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions】多源遥感数据的时空融合:文献调查、分类、准则、应用和未来方向 摘要 具有高空间分辨率的卫星时间序列对于监测异质地貌中的地表动态至关重要。尽管近年来遥感技术经历了快速发展,但...
source data fusion of heterogeneous sensors References [1] CONG Rui, LIU Shulin, MA Rui. An approach to phase space reconstruction from multivariate data based on data fusion [J]. Acta Physica Sinica, 2008, 57(12): 7487??7493. [2] [6]TAKENS F. Detecting strange attractors in turbulence ...
MULTI-SOURCE HETEROGENEOUS DATA COLLECTION AND FUSION FOR MANUFACTURING WORKSHOP BASED ON COMPLEX EVENT PROCESSING In the era of industry 4.0, a large amount of real-time multi-source heterogeneous data will be generated when various manufacturing resources such as mach... Y Wang,L Zheng,Y Hu,....
For heterogeneous traffic detector data, a sensitivity analysis experiments for influencing factors of fusion result should be organized first before data fusion in Zhu et al. [41]. Another similar study, in which both availability of cellular handoff probe data and microwave sensor data in a ...
The science questions to be answered in this paper include: 1) Can the MQQA-BME algorithm overcome AOD variability via hierarchical data fusion in a forest fire event with the aid of multisource and multiscale AOD datasets? 2) Can integrated point-surface fusion via MQQA-BME largely improve...
We investigate the effectiveness of DSL in image segmentation tasks using multi-source heterogeneous data from distributed data centers. Then, we explore two practical cases involving multi-modality and missing-modality image data, emphasizing the DSL capability of learning the misaligned data distribution...