• DocumentCode
    256155
  • Title

    Mean-shift Segmentation Parameters Estimator (MSPE): A new tool for Very High Spatial Resolution satellite images

  • Author

    Benarchid, Omar ; Raissouni, Naoufal

  • Author_Institution
    RS&AID Lab., Univ. Abdelmalek Essaadi (UAE), Tetuan, Morocco
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    357
  • Lastpage
    361
  • Abstract
    In this research we propose a new tool, called Mean-shift Segmentation Parameters Estimator (MSPE), to automate the selection of segmentation parameter values. Our algorithm is based on Mean-shift segmentation. However, this algorithm needs as inputs: i) existing vector database and ii) spectral data to define automatically the segmentation parameter values. The proposed method has been applied on different landscape´s types (Urban, and Rural). The results obtained show accurate results.
  • Keywords
    geophysical image processing; image segmentation; remote sensing; mean-shift segmentation parameters estimator; segmentation parameter values; spectral data; vector database; very high spatial resolution satellite images; Databases; Image resolution; Image segmentation; Vectors; MSPE; OBIA; Remote Sensing; Segmentation; VHSR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2014 International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4799-3823-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2014.6911184
  • Filename
    6911184