A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES

This work follows a line of research dedicated to the parallelization of image segmentation algorithms on distributed computing environments, which is motivated by the increasing resolutions and availability of Remote Sensing (RS) images. Here we focus on region-growing segmentation, which is regard...

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Bibliographic Details
Main Authors: R. B. Andrade, J. M. F. Santos, G. A. O. P. Costa, G. L. A. Mota, P. N. Happ, R. Q. Feitosa
Format: Article
Language:English
Published: Copernicus Publications 2019-09-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W7/3/2019/isprs-annals-IV-2-W7-3-2019.pdf