Technological advances in the field of Remote Sensing generate large volumes of geospatial data. Current geographic information systems (GIS) doesn't support the massive processing of satellite imagery, two examples of this kind of software are: (i) the Brazilian Spring project, GIS and remote sensing image processing system (ii) QGIS, a free and open source GIS. To achieve massive processing, we have HIPI framework, it provides a solution for how to store a large collection of images and works on the Hadoop Distributed File System. Currently, HIPI only supports specific image formats, such as, JPEG, PNG and PPM. In this article is presented a new approach to distributed processing of considerable amounts of satellite images. We make an extension of HIPI to support satellite images format, TIFF, this fact helps to preserve the information, process and analyze satellite images massively to have results faster than the traditional way.
|Title of host publication||Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015|
|Editors||Alex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 16 Dec 2015|
|Event||41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru|
Duration: 19 Oct 2015 → 23 Oct 2015
|Name||Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015|
|Conference||41st Latin American Computing Conference, CLEI 2015|
|Period||19/10/15 → 23/10/15|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
- Big Data
- Procesamiento Masivo de Imagenes Satelitales (PMIS)
- Remote Sensing
- Satellite Images