TY  - CONF
AU  - Memon, Mohammad Shahbaz
AU  - Cavallaro, Gabriele
AU  - Hagemeier, Bjorn
AU  - Riedel, Morris
AU  - Neukirchen, Helmut
TI  - Automated Analysis of Remotely Sensed Images Using the Unicore Workflow Management System
PB  - IEEE
M1  - FZJ-2018-06573
SN  - 978-1-5386-7150-4
SP  - 1128 - 1131
PY  - 2018
AB  - The progress of remote sensing technologies leads to increased supply of high-resolution image data. However, solutions for processing large volumes of data are lagging behind: desktop computers cannot cope anymore with the requirements of macro-scale remote sensing applications; therefore, parallel methods running in High-Performance Computing (HPC) environments are essential. Managing an HPC processing pipeline is non-trivial for a scientist, especially when the computing environment is heterogeneous and the set of tasks has complex dependencies. This paper proposes an end-to-end scientific workflow approach based on the UNICORE workflow management system for automating the full chain of Support Vector Machine (SVM)-based classification of remotely sensed images. The high-level nature of UNICORE workflows allows to deal with heterogeneity of HPC computing environments and offers powerful workflow operations such as needed for parameter sweeps. As a result, the remote sensing workflow of SVM-based classification becomes re-usable across different computing environments, thus increasing usability and reducing efforts for a scientist.
T2  - 2018 IEEE International Geoscience and Remote Sensing Symposium
CY  - 22 Jul 2018 - 27 Jul 2018, Valencia (Spain)
Y2  - 22 Jul 2018 - 27 Jul 2018
M2  - Valencia, Spain
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1109/IGARSS.2018.8519364
UR  - https://juser.fz-juelich.de/record/857588
ER  -