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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...
Optical and radar data fusion for DEM generation
DEM generation SAR Interferometry Phase Unwrapping SPOT Stereoscopy Data Fusion
2016/5/20
This paper presents a DEM generation procedure based on optical (SPOT stereo) and radar (InSAR, interferometric SAR) data. The first part of the paper is focused on InSAR. The second one is concerned ...
DATA FUSION FOR BUILDING RECONSTRUCTION FROM MULTI-ASPECT INSAR DATA
InSAR, Multi-Aspect MASAR 3D Reconstruction Building Reconstruction Urban Areas Probabilistic Graphical Model Data Fusion Radargrammetry Compressive Sensing Sparsity
2014/4/24
In this paper we present a novel approach for 3D reconstruction of point clouds based on single baseline Multi-Aspect InSAR (MASAR) data. The point clouds represent an intermediate result to achieve a...
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...
Sequential testing over multiple stages and performance analysis of data fusion
Sequential testing over multiple stages performance analysis data fusion
2013/4/28
We describe a methodology for modeling the performance of decision-level data fusion between different sensor configurations, implemented as part of the JIEDDO Analytic Decision Engine (JADE). We firs...
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...
Robust EMG sensing system based on data fusion for myoelectric control of a robotic arm
Robust EMG sensing system data fusion myoelectric control a robotic arm
2010/2/25
The fault robustness and safety characteristics of a myoelectric controlled manipulator system were substantially improved. The proposed scheme prevents potential risks for the operator, the equipment...
ERIAL IMAGES AND LIDAR DATA FUSION FOR AUTOMATIC FEATURE EXTRACTION USING THE SELF-ORGANIZING MAP (SOM) CLASSIFIER
Aerial Images Lidar, GLCM Attributes Building Detection
2016/2/29
This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based
on test data from two different study areas with different character...
Review of "Mathematical Techniques in Multisensor Data Fusion" by David L. Hall and Sonya A. H. McMullen
Mathematical Techniques in Multisensor Data Fusion David L. Hall Sonya A. H. McMullen
2010/3/1
Data fusion has been a trend in the field of imaging and signal/image analysis. Although multisensor data fusion is still not regarded as a formal professional discipline, tremendous progress has been...