• DocumentCode
    3649671
  • Title

    Remote sensing segmentation benchmark

  • Author

    Stanislav Mikeš;Michal Haindl;Giuseppe Scarpa

  • Author_Institution
    Institute of Information Theory and Automation of the ASCR, 182 08 Prague, Czech Republic
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work we present the enrichment of the Prague texture segmentation data-generator and benchmark (PTSDB) also for the assessment of the remote sensing image segmenters. The PTSDB tool is a web based (http://mosaic.utia.cas.cz) service designed for real-time performance evaluation, mutual comparison, and ranking of various supervised or unsupervised static or dynamic image segmenters. PTSDB supports rapid verification and development of new segmentation approaches. The remote sensing datasets contain tenspectral ALI satellite images and their RGB subsets, with optional additive noise resistance checking. Alternative setting options allow to test also scale, rotation or illumination invariance. The benchmark functionality is demonstrated by testing and comparing six remote sensing segmentation algorithms.
  • Keywords
    "Benchmark testing","Image segmentation","Remote sensing","Satellites","Accuracy","Noise","Performance evaluation"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition in Remote Sensing (PRRS), 2012 IAPR Workshop on
  • Print_ISBN
    978-1-4673-4960-4
  • Type

    conf

  • DOI
    10.1109/PPRS.2012.6398320
  • Filename
    6398320