Paper Info
Title
Cpsitres: A Collaborative System For Analysis Of Big Data On Sea Ice
Abstract
Analysis of sea ice image rasters presents exciting challenges to the computer vision community, and results from such visual analysis can offer novel insights to domain experts studying sea ice. In recent years, there is a surge in the production of geospatial data sets on sea ice along with the methods for their analysis. As numerous providers independently provision geospatial data sets, they are found in varying formats. Also, there is often limited collaboration between the infra-domain and inter-domain experts analyzing these data sets. To tackle these aforementioned challenges, we have developed the cPSITRES system using open-source technologies and libraries to serve cruise-based high-resolution spatiotemporal Big Data on sea ice along with relevant unstructured public data. The system enables its users to perform complex analysis on the provided data sets and also serves as a collaborative platform for the rapid discovery of open-source methods analyzing sea ice. We also showcase a few exemplary traditional and state-of-the-art computer vision methods liar the analysis of data provided by cPSITRES.
Year
DOI
Venue
2019
10.1109/BigData47090.2019.9006255
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
Keywords
Field
DocType
sea ice, geospatial data, image analysis, big data analysis, collaborative system
Data science,Geospatial analysis,Data mining,Sea ice,Data set,Data analysis,Computer science,Big data,Cruise
Conference
ISSN
Citations 
PageRank 
2639-1589
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Vinit Veerendraveer Singh100.34
Scott Sorensen2216.17
Chra Kambhamettu300.34