• DocumentCode
    583992
  • Title

    Classification features in phase components of mechanism vectors in PolInSAR optimization

  • Author

    Shang, Fang ; Hirose, Akira

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2012
  • fDate
    Oct. 29 2012-Nov. 2 2012
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    In our experiments, we tested the properties of both the amplitude and phase components of mechanism vectors. Then, we compared the results with coherence map of the optimized data. The result showed that as well as the amplitude components, the phase components of mechanism vectors can also be used for land classification. Moreover, the mechanism vectors have different classification features from coherence map. That is, the mechanism vectors are sensitive to low vegetation field while the coherence map is sensitive to the lake area. In addition, we supposed that the phase components of mechanism vectors can contain more land information than the amplitude components.
  • Keywords
    pattern classification; radar interferometry; radar polarimetry; synthetic aperture radar; PolInSAR optimization; amplitude components; coherence map; lake area; land classification; land information; low vegetation field; mechanism vectors; phase component classification features; Coherence; Optimization; Support vector machine classification; Synthetic aperture radar; Vectors; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (ISAP), 2012 International Symposium on
  • Conference_Location
    Nagoys
  • Print_ISBN
    978-1-4673-1001-7
  • Type

    conf

  • Filename
    6393864