collaborators

5 papers

cs.DC2018

Vectorization of Large Amounts of Raster Satellite Images in a Distributed Architecture Using HIPI

Suleyman Eken, Eray Aydin, Ahmet Sayar

Vectorization process focus on grouping pixels of a raster image into raw line segments, and forming lines, polylines or poligons. To vectorize massive raster images regarding reso…

cs.DC2018

Sleep Stage Classification: Scalability Evaluations of Distributed Approaches

Serife Acikalin, Suleyman Eken, Ahmet Sayar

Processing and analyzing of massive clinical data are resource intensive and time consuming with traditional analytic tools. Electroencephalogram (EEG) is one of the major technolo…

cs.DC2018

A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images

Suleyman Eken, Ahmet Sayar

We propose a framework stitching of vector representations of large scale raster mosaic images in distributed computing model. In this way, the negative effect of the lack of resou…

cs.DC2018

An Approach For Stitching Satellite Images In A Bigdata Mapreduce Framework

Hayrunnisa Sari, Suleyman Eken, Ahmet Sayar

In this study we present a two-step map/reduce framework to stitch satellite mosaic images. The proposed system enable recognition and extraction of objects whose parts falling in…

cs.DC2018

DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

Suleyman Eken, Eray Aydin, Ahmet Sayar

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processi…