SCALABLE ANALYSIS AND RETRIEVAL OF POLARIMETRIC SAR DATA ON ELASTIC COMPUTING CLOUDS
Earth Observation (EO) mining systems aim at supporting
efficient access and exploration of large volumes of image
products. In this work, we address the problem of
content-based image retrieval via example-based queries
from Petabyte-scale EO data archives. To this end, we
propose an interactive data mining system that relies on
distributing unsupervised ingestion processes onto virtual
machine instances in elastic, on-demand computing
infrastructures that also support archive-scale content
indexing via a "big data" analytics cluster-computing
framework.






