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MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Deep Learning Convolutional Neural Networks Super resolution Crowd-sourced data Data fusion
2017/8/10
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
APPLICATION OF DATA FUSION IN THE PRODUCTION AND UPDATING OF SPATIAL DATA
Spatial Data Data Fusion Image Data Fusion Scheme Data Integration Production Updating
2014/4/24
The increasing spatial data provide abundant material for data fusion, and the purpose of the paper is to apply data fusion into the
production and updating of spatial data. After outlining the gene...
Particle Filter Data Fusion Enhancements for MEMS-IMU/GPS
Micro-Electro-Mechanical-System Particle Filter Data Fusion Extended Kalman Filtering
2013/1/29
This research aims at enhancing the accuracy of navigation systems by integrating GPS and Mi-cro-Electro-Mechanical-System (MEMS) based inertial measurement units (IMU). Because of the conditions re-q...