Abstract
These days, in different fields of both industry and academia, large amounts of data is generated. The use of several frameworks with different techniques is essential, for processing and extraction of data. In the remote sensing field, large volumes of data are generated (satellite images) over short periods of time. Information systems for processing these kind of images were not designed with scalable features. In this paper, we present an extension of the HIPI framework (Hadoop Image Processing Interface) for processing satellite image formats.
Original language | English |
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Pages (from-to) | 136-137 |
Number of pages | 2 |
Journal | CEUR Workshop Proceedings |
Volume | 1478 |
State | Published - 2015 |
Event | 2nd Annual International Symposium on Information Management and Big Data, SIMBig 2015 - Cusco, Peru Duration: 2 Sep 2015 → 4 Sep 2015 |
Keywords
- Big data
- Hadoop
- HIPI
- Mapreduce
- Remote sensing
- Satellite images