Big Data Frameworks for Efficient Range Queries to Extract Interested Rectangular Sub Regions

A satellite object can consist of more than one mosaic image.
To extract any object from remote sensing satellite images,
mosaic images need to be stitched. It is critical problem that
which mosaics will be selected for image stitching among big
mosaic dataset. In this paper, we propose two approaches to
overcome mosaic selection problem by means of finding
rectangular sub regions intersecting with range query. Former
one is based on hybrid of Apache Hadoop and HBase and
latter one is based on Apache Lucene. Their effectiveness has
been compared in terms of response time under varying
number of mosaics.


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