Title :
Operator analysis and diffusion based embeddings for heterogeneous data fusion
Author :
Cloninger, Alexander ; Czaja, Wojciech ; Doster, Timothy
Author_Institution :
Dept. of Math., Univ. of Maryland, College Park, MD, USA
Abstract :
As new sensing modalities emerge and the presence of multiple sensors per platform becomes widespread, it is vital to develop new algorithms and techniques which can fuse this data. Previous attempts to deal with the problem of heterogeneous data integration for the applications in data classification were either highly data dependent or relied on simply fusing classifier outputs. In this paper we examine several related approaches: graph fusion, operator fusion, and feature space fusion. They are all associated with graph diffusion processes generated by appropriately designed operators. Our results do not make any assumptions about the data and can be easily extended to new additional modalities.
Keywords :
data integration; diffusion; sensor fusion; algorithm development; data classification application; diffusion based embedding; feature space fusion; graph diffusion process; graph fusion; heterogeneous data fusion; heterogeneous data integration problem; multiple sensor per platform; operator analysis; operator fusion; sensing modality; simply fusing classifier output; technique development; Data integration; Fuses; Kernel; Laplace equations; Laser radar; Manifolds; Sensors; HSI; LIDAR; Laplacian Eigenmaps; classification; data fusion; operator analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946659