Implementation Strategy of NDVI Algorithm with Nvidia Thrust

  • Jesús Alvarez-Cedillo
  • Juan Herrera-Lozada
  • Israel Rivera-Zarate
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8333)

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.

Keywords

Graphic Processing Unit Vegetation Index Implementation Strategy Transformation Operator Video Card 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jesús Alvarez-Cedillo
    • 1
  • Juan Herrera-Lozada
    • 1
  • Israel Rivera-Zarate
    • 1
  1. 1.Parallel Processing DepartmentInstituto Politecnico NacionalMexico CityMexico

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