Name
Title | ||
|---|---|---|
Knowledge-driven image mining system for Big Earth Observation data fusion: GIS maps inclusion in active learning stage |
Abstract | ||
|---|---|---|
In this paper, we present an accelerated knowledge-driven content-based information mining system for Big Earth Observation data fusion. The tool combines, at pixel level, the unsupervised clustering results of different number of features. The features, extracted from different EO raster image types and from existing GIS vector maps, are combined, in form of a BoW, with a user given semantic concepts in order to calculate the posterior probability that allows the final search. The inclusion of GIS data during the active learning, based on Bayesian networks, accelerate the definition processes of semantic labels and retrieve the related images with only a few user interactions. The inclusion of GIS data in conjunction with the recently introduced search algorithm have as a result a system which greatly optimizes the computational costs and over performs existing similar systems in various orders of magnitude. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IGARSS.2014.6947246 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
Big Data,Earth,belief networks,content-based retrieval,data mining,feature extraction,geographic information systems,geophysical image processing,image fusion,image retrieval,pattern clustering,probability,unsupervised learning,Bayesian networks,BoW,EO raster image types,GIS data,GIS map inclusion,GIS vector maps,accelerated knowledge-driven content-based information mining system,active learning stage,big earth observation data fusion,feature extraction,knowledge-driven image mining system,semantic concepts,unsupervised clustering,Active Learning,Bag of Words,Bayesian Networks,Big data,Data Fusion,GIS,Image Mining | Data mining,Search algorithm,Raster graphics,Computer science,Posterior probability,Earth observation,Artificial intelligence,Cluster analysis,Vector map,Computer vision,Pattern recognition,Sensor fusion,Bayesian network | Conference |
ISSN | Citations | PageRank |
2153-6996 | 1 | 0.36 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin Alonso | 1 | 12 | 3.41 |
| Mihai Datcu | 2 | 893 | 111.62 |