Implementation strategy of NDVI algorithm with nvidia thrust

Jesús Alvarez-Cedillo; Juan Herrera-Lozada; Israel Rivera-Zarate

doi:10.1007/978-3-642-53842-1_16

Implementation strategy of NDVI algorithm with nvidia thrust

Jesús Alvarez-Cedillo, Juan Herrera-Lozada, Israel Rivera-Zarate

Unidad Profesional Interdisciplinaria de Ingeniería y Ciencias Sociales y Administrativas (UPIICSA)
Centro de Innovación y Desarrollo Tecnológico en Cómputo (CIDETEC)

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

4 Scopus citations

Abstract

The calculation of Normalized Difference Vegetation Index (NDVI) has been studied in literature by multiple authors inside the remote sensing field and image processing field, however its application in large image files as satellite images restricts its use or need preprocessed phases to compensate for the large amount of resources needed or the processing time. This paper shown the implementation strategy to calculates NDVI for satellite images in RAW format, using the benefits of economic Supercomputing that were obtained by the video cards or Graphics Processing Units (GPU). Our algorithm outperforms other works developed in NVIDIA CUDA, the images used were provided by NASA and taken by Landsat 71 located on the Mexican coast, Ciudad del Carmen, Campeche.

Original language	English
Title of host publication	Image and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers
Publisher	Springer Verlag
Pages	184-193
Number of pages	10
ISBN (Print)	9783642538414
DOIs	https://doi.org/10.1007/978-3-642-53842-1_16
State	Published - 2014
Event	6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013 - Guanajuato, Mexico Duration: 28 Oct 2013 → 1 Nov 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8333 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013
Country/Territory	Mexico
City	Guanajuato
Period	28/10/13 → 1/11/13

Access to Document

10.1007/978-3-642-53842-1_16

Cite this

Alvarez-Cedillo, J., Herrera-Lozada, J., & Rivera-Zarate, I. (2014). Implementation strategy of NDVI algorithm with nvidia thrust. In Image and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers (pp. 184-193). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8333 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-53842-1_16

Alvarez-Cedillo, Jesús ; Herrera-Lozada, Juan ; Rivera-Zarate, Israel. / Implementation strategy of NDVI algorithm with nvidia thrust. Image and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers. Springer Verlag, 2014. pp. 184-193 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The calculation of Normalized Difference Vegetation Index (NDVI) has been studied in literature by multiple authors inside the remote sensing field and image processing field, however its application in large image files as satellite images restricts its use or need preprocessed phases to compensate for the large amount of resources needed or the processing time. This paper shown the implementation strategy to calculates NDVI for satellite images in RAW format, using the benefits of economic Supercomputing that were obtained by the video cards or Graphics Processing Units (GPU). Our algorithm outperforms other works developed in NVIDIA CUDA, the images used were provided by NASA and taken by Landsat 71 located on the Mexican coast, Ciudad del Carmen, Campeche.",

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Alvarez-Cedillo, J , Herrera-Lozada, J & Rivera-Zarate, I 2014, Implementation strategy of NDVI algorithm with nvidia thrust. in Image and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8333 LNCS, Springer Verlag, pp. 184-193, 6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013, Guanajuato, Mexico, 28/10/13. https://doi.org/10.1007/978-3-642-53842-1_16

Implementation strategy of NDVI algorithm with nvidia thrust. / Alvarez-Cedillo, Jesús ; Herrera-Lozada, Juan ; Rivera-Zarate, Israel.
Image and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers. Springer Verlag, 2014. p. 184-193 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8333 LNCS).

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

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N2 - The calculation of Normalized Difference Vegetation Index (NDVI) has been studied in literature by multiple authors inside the remote sensing field and image processing field, however its application in large image files as satellite images restricts its use or need preprocessed phases to compensate for the large amount of resources needed or the processing time. This paper shown the implementation strategy to calculates NDVI for satellite images in RAW format, using the benefits of economic Supercomputing that were obtained by the video cards or Graphics Processing Units (GPU). Our algorithm outperforms other works developed in NVIDIA CUDA, the images used were provided by NASA and taken by Landsat 71 located on the Mexican coast, Ciudad del Carmen, Campeche.

AB - The calculation of Normalized Difference Vegetation Index (NDVI) has been studied in literature by multiple authors inside the remote sensing field and image processing field, however its application in large image files as satellite images restricts its use or need preprocessed phases to compensate for the large amount of resources needed or the processing time. This paper shown the implementation strategy to calculates NDVI for satellite images in RAW format, using the benefits of economic Supercomputing that were obtained by the video cards or Graphics Processing Units (GPU). Our algorithm outperforms other works developed in NVIDIA CUDA, the images used were provided by NASA and taken by Landsat 71 located on the Mexican coast, Ciudad del Carmen, Campeche.

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BT - Image and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers

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Alvarez-Cedillo J , Herrera-Lozada J , Rivera-Zarate I. Implementation strategy of NDVI algorithm with nvidia thrust. In Image and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers. Springer Verlag. 2014. p. 184-193. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-53842-1_16

Implementation strategy of NDVI algorithm with nvidia thrust

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