A new approach to the massive processing of satellite images

Wilder Nina; Rene Cruz; Juber Serrano; Jaime Cuba; Yoni Huaynacho; Alvaro Henry Mamani Aliaga; Yessenia Yari; Pablo Raul Yanyachi Aco Cardenas

doi:10.1109/CLEI.2015.7359991

A new approach to the massive processing of satellite images

Wilder Nina, Rene Cruz, Juber Serrano, Jaime Cuba, Yoni Huaynacho, Alvaro Henry Mamani Aliaga, Yessenia Yari, Pablo Raul Yanyachi Aco Cardenas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
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.
ISBN (Electronic)	9781467391436
DOIs	https://doi.org/10.1109/CLEI.2015.7359991
State	Published - 16 Dec 2015
Event	41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru Duration: 19 Oct 2015 → 23 Oct 2015

Publication series

Name	Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

Conference

Conference	41st Latin American Computing Conference, CLEI 2015
Country/Territory	Peru
City	Arequipa
Period	19/10/15 → 23/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Big Data
Hadoop
HIPI
Procesamiento Masivo de Imagenes Satelitales (PMIS)
Remote Sensing
Satellite Images

Access to Document

10.1109/CLEI.2015.7359991

Cite this

Nina, W., Cruz, R., Serrano, J., Cuba, J., Huaynacho, Y., Mamani Aliaga, A. H., Yari, Y., & Yanyachi Aco Cardenas, P. R. (2015). A new approach to the massive processing of satellite images. In A. Cuadros-Vargas, H. Cancela, & E. Cuadros-Vargas (Eds.), Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015 [7359991] (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLEI.2015.7359991

Nina, Wilder ; Cruz, Rene ; Serrano, Juber et al. / A new approach to the massive processing of satellite images. Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. editor / Alex Cuadros-Vargas ; Hector Cancela ; Ernesto Cuadros-Vargas. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015).

@inproceedings{eeefc04331794f41b8664c4cfb582feb,

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abstract = "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.",

keywords = "Big Data, Hadoop, HIPI, Procesamiento Masivo de Imagenes Satelitales (PMIS), Remote Sensing, Satellite Images",

author = "Wilder Nina and Rene Cruz and Juber Serrano and Jaime Cuba and Yoni Huaynacho and {Mamani Aliaga}, {Alvaro Henry} and Yessenia Yari and {Yanyachi Aco Cardenas}, {Pablo Raul}",

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doi = "10.1109/CLEI.2015.7359991",

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Nina, W, Cruz, R, Serrano, J, Cuba, J, Huaynacho, Y, Mamani Aliaga, AH, Yari, Y & Yanyachi Aco Cardenas, PR 2015, A new approach to the massive processing of satellite images. in A Cuadros-Vargas, H Cancela & E Cuadros-Vargas (eds), Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015., 7359991, Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015, Institute of Electrical and Electronics Engineers Inc., 41st Latin American Computing Conference, CLEI 2015, Arequipa, Peru, 19/10/15. https://doi.org/10.1109/CLEI.2015.7359991

A new approach to the massive processing of satellite images. / Nina, Wilder; Cruz, Rene; Serrano, Juber et al.

Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. ed. / Alex Cuadros-Vargas; Hector Cancela; Ernesto Cuadros-Vargas. Institute of Electrical and Electronics Engineers Inc., 2015. 7359991 (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Cruz, Rene

AU - Serrano, Juber

AU - Cuba, Jaime

AU - Huaynacho, Yoni

AU - Mamani Aliaga, Alvaro Henry

AU - Yari, Yessenia

AU - Yanyachi Aco Cardenas, Pablo Raul

PY - 2015/12/16

Y1 - 2015/12/16

N2 - 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.

AB - 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.

KW - Big Data

KW - Hadoop

KW - HIPI

KW - Procesamiento Masivo de Imagenes Satelitales (PMIS)

KW - Remote Sensing

KW - Satellite Images

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M3 - Contribución a la conferencia

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BT - Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

A2 - Cuadros-Vargas, Alex

A2 - Cancela, Hector

A2 - Cuadros-Vargas, Ernesto

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 19 October 2015 through 23 October 2015

ER -

Nina W, Cruz R, Serrano J, Cuba J, Huaynacho Y, Mamani Aliaga AH et al. A new approach to the massive processing of satellite images. In Cuadros-Vargas A, Cancela H, Cuadros-Vargas E, editors, Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7359991. (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015). doi: 10.1109/CLEI.2015.7359991

A new approach to the massive processing of satellite images

Abstract

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Bibliographical note

Keywords

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