Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 407-412, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-407-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
08 Jun 2016
MOSAICKING MEXICO - THE BIG PICTURE OF BIG DATA
F. Hruby1, S. Melamed2, R. Ressl1, and D. Stanley2 1National Commission for Knowledge and Use of Biodiversity (CONABIO), 14010 Mexico City, Mexico
2PCI Geomatics, Markham, Ontario, L3R 6H3, Canada
Keywords: Mosaicking, Geovisualization, Color Balancing, Satellite Imagery, Big Data Abstract. The project presented in this article is to create a completely seamless and cloud-free mosaic of Mexico at a resolution of 5m, using approximately 4,500 RapidEye images. To complete this project in a timely manner and with limited operators, a number of processing architectures were required to handle a data volume of 12 terabytes. This paper will discuss the different operations realized to complete this project, which include, preprocessing, mosaic generation and post mosaic editing. Prior to mosaic generation, it was necessary to filter the 50,000 RapidEye images captured over Mexico between 2011 and 2014 to identify the top candidate images, based on season and cloud cover. Upon selecting the top candidate images, PCI Geomatics’ GXL system was used to reproject, color balance and generate seamlines for the output 1TB+ mosaic. This paper will also discuss innovative techniques used by the GXL for color balancing large volumes of imagery with substantial radiometric differences. Furthermore, post-mosaicking steps, such as, exposure correction, cloud and cloud shadow elimination will be presented.
Conference paper (PDF, 1064 KB)


Citation: Hruby, F., Melamed, S., Ressl, R., and Stanley, D.: MOSAICKING MEXICO - THE BIG PICTURE OF BIG DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 407-412, https://doi.org/10.5194/isprs-archives-XLI-B2-407-2016, 2016.

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