EagleEye
From HP-SEE Wiki
Contents |
General Information
- Application's name: Feature Extraction from Satellite Images Using a Hybrid Computing Architecture
- Virtual Research Community: Computational Physics
- Scientific contact: Emil Slusanschi, emil.slusanschi@cs.pub.ro
- Technical contact: Nicolae Tapus, nicolae.tapus@cs.pub.ro
- Developers: University Politehnica of Bucharest / Computer Science and Engineering, Romania
- Web site: http://cluster.grid.pub.ro/
Short Description
The topic of analyzing aerial and satellite images for the purpose of extracting useful features has always been an interesting area of research in the field of machine vision. From identifying terrain features like forests, agricultural land, waterways and analyzing their evolution over time, to locating man-made structures like roads and buildings, the possible applications are numerous.
Problems Solved
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Scientific and Social Impact
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Collaborations and Beneficiaries
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Technical Features and HP-SEE Implementation
- Primary programming language: C/C++
- Parallel programming paradigm: Threads, OpenMP, TBB, MPI
- Main parallel code: Tobefilledin
- Pre/post processing code: Tobefilledin
- Application tools and libraries: OpenCV
- Number of cores required: Tobefilledin
- Minimum RAM/core required: Tobefilledin
- Storage space during a single run: Tobefilledin
- Long-term data storage: Tobefilledin
Usage Example
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Publications
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