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Volumn 2015-November, Issue , 2015, Pages 353-356

Urban classification using PolSAR data and deep learning

Author keywords

Classification; Deep Learning; POLSAR

Indexed keywords


EID: 84962552821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2015.7325773     Document Type: Conference Paper
Times cited : (21)

References (10)
  • 1
    • 80955139101 scopus 로고    scopus 로고
    • Polarimetric radar imaging: From basics to applications
    • Taylor & Francis
    • J. S. Lee and E. Pottier, Polarimetric Radar Imaging: From Basics to Applications, Optical Science and Engineering. Taylor & Francis, 2009.
    • (2009) Optical Science and Engineering
    • Lee, J.S.1    Pottier, E.2
  • 4
    • 0026899931 scopus 로고
    • Segmentation of polarimetric synthetic aperture radar data
    • Eric Rignot and Rama Chellappa, "Segmentation of polarimetric synthetic aperture radar data, " Image Processing, IEEE Transactions on, vol. 1, no. 3, pp. 281-300, 1992.
    • (1992) Image Processing, IEEE Transactions on , vol.1 , Issue.3 , pp. 281-300
    • Rignot, E.1    Chellappa, R.2
  • 5
    • 0028562850 scopus 로고
    • Classification of multi-look polarimetric sar imagery based on complex wishart distribution
    • Jong-Sen Lee, Mitchell R Grunes, and R Kwok, "Classification of multi-look polarimetric sar imagery based on complex wishart distribution, " International Journal of Remote Sensing, vol. 15, no. 11, pp. 2299-2311, 1994.
    • (1994) International Journal of Remote Sensing , vol.15 , Issue.11 , pp. 2299-2311
    • Lee, J.1    Grunes, M.R.2    Kwok, R.3
  • 7
    • 84962575762 scopus 로고    scopus 로고
    • Classification of polarimetric sar data using yamaguchis polarization orientation compensation (poc) with decision tree classifier for urban area
    • Elsevier
    • V Turkar and YS Rao, "Classification of polarimetric sar data using yamaguchis polarization orientation compensation (poc) with decision tree classifier for urban area, " in Environmental Health 2013 Science and Policy to Protect Future Generations. Elsevier, 2013, p. P3. 61.
    • (2013) Environmental Health 2013 Science and Policy to Protect Future Generations , pp. P361
    • Turkar, V.1    Rao, Y.S.2
  • 9
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Geoffrey Hinton, Simon Osindero, and Yee-Whye Teh, "A fast learning algorithm for deep belief nets, " Neural computation, vol. 18, no. 7, pp. 1527-1554, 2006.
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.1    Osindero, S.2    Teh, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.