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.
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CITATION STYLE
Alvarez-Cedillo, J., Herrera-Lozada, J., & Rivera-Zarate, I. (2014). Implementation strategy of NDVI algorithm with nvidia thrust. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8333 LNCS, pp. 184–193). Springer Verlag. https://doi.org/10.1007/978-3-642-53842-1_16
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