Implementation strategy of NDVI algorithm with nvidia thrust

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. © 2014 Springer-Verlag Berlin Heidelberg.
Original languageAmerican English
Title of host publicationImplementation strategy of NDVI algorithm with nvidia thrust
Pages184-193
Number of pages164
ISBN (Electronic)9783642538414
DOIs
StatePublished - 1 Jan 2014
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8333 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

Fingerprint

Normalized Difference Vegetation Index
Satellite Images
Satellites
Landsat
del operator
Graphics Processing Unit
NASA
Remote Sensing
Coastal zones
Remote sensing
Image Processing
Image processing
Economics
Calculate
Resources
Processing
Strategy
Graphics processing unit

Cite this

Alvarez-Cedillo, J., Herrera-Lozada, J., & Rivera-Zarate, I. (2014). Implementation strategy of NDVI algorithm with nvidia thrust. In Implementation strategy of NDVI algorithm with nvidia thrust (pp. 184-193). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8333 LNCS). 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. Implementation strategy of NDVI algorithm with nvidia thrust. 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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Alvarez-Cedillo, J, Herrera-Lozada, J & Rivera-Zarate, I 2014, Implementation strategy of NDVI algorithm with nvidia thrust. in Implementation strategy of NDVI algorithm with nvidia thrust. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8333 LNCS, pp. 184-193, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14. 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.

Implementation strategy of NDVI algorithm with nvidia thrust. 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 proceedingConference contribution

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Alvarez-Cedillo J, Herrera-Lozada J, Rivera-Zarate I. Implementation strategy of NDVI algorithm with nvidia thrust. In Implementation strategy of NDVI algorithm with nvidia thrust. 2014. p. 184-193. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-53842-1_16