Results 31 to 40 of about 509,921 (183)

Multi-Sensor Data Fusion Method Based on Self-Attention Mechanism

Applied Sciences, 2023
In 3D reconstruction tasks, single-sensor data fusion based on deep learning is limited by the integrity and accuracy of the data, which reduces the accuracy and reliability of the fusion results. To address this issue, this study proposes a multi-sensor
Xuezhu Lin, Shihan Chao, Dongming Yan, Lili Guo, Yue Liu, Lijuan Li   +5 more
doaj   +1 more source

Multi-source Heterogeneous Data Fusion Technologies and Government Big Data GovernanceSystem [PDF]

Jisuanji kexue
With the rapid development of information technology,the data held by governments and enterprises are growing exponentially.However,the multi-source of data will lead to different formats,the low quality of data will affect the application results,the ...
YAN Jiahe, LI Honghui, MA Ying, LIU Zhen, ZHANG Dalin, JIANG Zhouxian, DUAN Yuhang
doaj   +1 more source

Research on Urban Function Recognition Based on Multi-modal and Multi-level Data Fusion Method [PDF]

Jisuanji kexue, 2021
The division and identification of urban functional areas is of great significance for analyzing the distribution status of urban functional areas and understanding the internal spatial structure of cities.This has stimulated the demand for multi-source ...
ZHOU Xin-min, HU Yi-gui, LIU Wen-jie, SUN Rong-jun
doaj   +1 more source

Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]

, 2015
The recent proliferation of engineered surfaces, including freeform and structured surfaces, is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms of spatial ...
Ai C, Barker R M, Boudjemaa R, De Boor C, D𝚤ez D C, Fabio R, GmbH W, Golub G H, Hansen C D, Hao C, Hemsley R, Inhull, ISO 25178-6, ISO 25178-604, ISO/DIS 25178-606, JDL, Jiang X, Kjer H M, Leica Microsystems, Low K-L, Mathworks, Raid I, Ramasamy S K, Rasmussen C E, Rasmussen C E, Schabenberger O, Schmit J, Seeger S, Shekhar S, Strutz T, Sun W, Wang J, Weisstein E W, Yamany S M, Yan-Mei C   +34 more
core   +1 more source

Modular design of data-parallel graph algorithms [PDF]

, 2013
Amorphous Data Parallelism has proven to be a suitable vehicle for implementing concurrent graph algorithms effectively on multi-core architectures.
Christianson, B., Dash, Santanu, Scholz, Sven-Bodo   +2 more
core   +1 more source

Multi-source Information Fusion Based on Data Driven

Journal of Software, 2011
Take data driven method as the theoretical basis, study multi-source information fusion technology. Using online and off-line data of the fusion system, does not rely on system's mathematical model, has avoided question about system modeling by mechanism. Uses principal component analysis method, rough set theory, Support Vector Machine(SVM) and so on,
Xin Zhang, Li Yang, Yan Zhang, Jinxue Sui   +3 more
openaire   +1 more source

Deep learning in remote sensing: a review [PDF]

, 2017
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich, Mou, Lichao, Tuia, Devis, Xia, Gui-Song, Xu, Feng, Zhang, Liangpei, Zhu, Xiao Xiang   +6 more
core   +4 more sources

Conversion and fusion method of multi-source and different populations maintainability prior data

Heliyon, 2023
Maintainability is an important universal quality characteristic that reflects the convenience, speed and economy of weapon and equipment maintenance. Making full use of multi-source data to accurately verify the degree to which the developed equipment ...
Cheng Zhou, Da Xu, Zhaoyang Wang
doaj   +1 more source

Target Type Tracking with PCR5 and Dempster's rules: A Comparative Analysis

, 2006
In this paper we consider and analyze the behavior of two combinational rules for temporal (sequential) attribute data fusion for target type estimation. Our comparative analysis is based on Dempster's fusion rule proposed in Dempster-Shafer Theory (DST)
Dezert, Jean, Konstantinova, Pavlina, Smarandache, Florentin, Tchamova, Albena   +3 more
core   +3 more sources

Quality assessment by region in spot images fused by means dual-tree complex wavelet transform [PDF]

, 2011
This work is motivated in providing and evaluating a fusion algorithm of remotely sensed images, i.e. the fusion of a high spatial resolution panchromatic image with a multi-spectral image (also known as pansharpening) using the dual-tree complex wavelet
Arquero Hidalgo, Águeda, Martínez Izquierdo, María Estíbaliz, Renza Torres, Diego   +2 more
core   +2 more sources