HIPI, as alternative for satellite images processing

Wilder Nina Choquehuayta, René Cruz Muñoz, Juber Serrano Cervantes, Alvaro Henry Mamani Aliaga, Pablo Raul Yanyachi Aco Cardenas, Yessenia Yari

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

These days, in different fields of both industry and academia, large amounts of data is generated. The use of several frameworks with different techniques is essential, for processing and extraction of data. In the remote sensing field, large volumes of data are generated (satellite images) over short periods of time. Information systems for processing these kind of images were not designed with scalable features. In this paper, we present an extension of the HIPI framework (Hadoop Image Processing Interface) for processing satellite image formats.

Original languageEnglish
Pages (from-to)136-137
Number of pages2
JournalCEUR Workshop Proceedings
Volume1478
StatePublished - 2015
Event2nd Annual International Symposium on Information Management and Big Data, SIMBig 2015 - Cusco, Peru
Duration: 2 Sep 20154 Sep 2015

Keywords

  • Big data
  • Hadoop
  • HIPI
  • Mapreduce
  • Remote sensing
  • Satellite images

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