• DocumentCode
    3349702
  • Title

    Multitemporal and multisensor signatures evaluation for lithologic classification

  • Author

    Loizzo, R. ; Pappalepore, M. ; Pasquariello, G. ; Antoninetti, M.

  • Author_Institution
    ASI-Centro di Geodesia Spaziale, Matera
  • Volume
    3
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    2209
  • Abstract
    Focuses on the evaluation of the potentiality of remote sensing exploitation for geological applications in the Mediterranean area. The test site of the “Fossa Bradanica” (South of Italy) has been considered. Different data sets have been considered: optical multitemporal, microwave multitemporal and combined optical and microwave. On the basis of a maximum likelihood rule an analysis of the spectral signatures extracted from lithologic classes obtained by cartographic maps and ground truth has been performed, either on LANDSAT TM data or ERS-1 data. In order to reduce the vegetation influence in lithological signature evaluation vegetation mask is used. Then the best data combination and the best season of acquisition for the minimization of the confusion are defined. The obtained results are shown
  • Keywords
    geophysical signal processing; geophysical techniques; image classification; radar imaging; remote sensing; remote sensing by radar; sensor fusion; Fossa Bradanica; IR; Italy; Mediterranean; geology; geophysical measurement technique; infrared; land surface; lithologic classification; maximum likelihood rule; microwave; minimization; multisensor signature; multitemporal method; optical imaging; radar; remote sensing; spectral signatures; terrain mapping; visible; Data analysis; Data mining; Geology; Optical sensors; Remote sensing; Rivers; Satellites; Spectral analysis; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.524150
  • Filename
    524150