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2020 | OriginalPaper | Chapter

A Parallel Drone Image Mosaic Method Based on Apache Spark

Authors : Yirui Wu, Lanbo Ge, Yuchi Luo, Deqiang Teng, Jun Feng

Published in: Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications

Publisher: Springer International Publishing

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Abstract

MapReduce has been widely used to process large-scale data in the past decade. Among the quantity of such cloud computing applications, we pay special attention to distributed mosaic methods based on numerous drone images, which suffers from costly processing time. In this paper, a novel computing framework called Apache Spark is introduced to pursue instant responses for the quantity of drone image mosaic requests. To assure high performance of Spark-based algorithms in a complex cloud computing environment, we specially design a distributed and parallel drone image mosaic method. By modifying to be fit for fast and parallel running, all steps of the proposed mosaic method can be executed in an efficient and parallel manner. We implement the proposed method on Apache Spark platform and apply it to a few self-collected datasets. Experiments indicate that our Spark-based parallel algorithm is of great efficiency and is robust to process low-quality drone aerial images.

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Title: A Parallel Drone Image Mosaic Method Based on Apache Spark
Authors: Yirui Wu
Lanbo Ge
Yuchi Luo
Deqiang Teng
Jun Feng
Publisher: Springer International Publishing
Book: Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications
Print ISBN: 978-3-030-48512-2

Electronic ISBN: 978-3-030-48513-9

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-48513-9_25

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