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Volumn 2005, Issue , 2005, Pages 235-240

An optimized approach to application of neural networks to classification of multispectral, remote sensing data

Author keywords

Back propagation based learning; Delta learning rule; Feed forward neural networks; Satellite Image Classification; Training acceleration

Indexed keywords

BACK-PROPAGATION BASED LEARNING; DELTA LEARNING RULE; SATELLITE IMAGE CLASSIFICATION; TRAINING ACCELERATION;

EID: 33745144951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2005.1461193     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 4
    • 84888842168 scopus 로고    scopus 로고
    • Harvard Design School. www.gsd.harvard.edu/geo/manual/image_class/.
  • 8
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • R. P. Lippmann, "An introduction to computing with neural nets," IEEEASSPMag., vol. 4, no. 2, pp. 4-22, 1987
    • (1987) IEEEASSPMag. , vol.4 , Issue.2 , pp. 4-22
    • Lippmann, R.P.1
  • 9
    • 0025453627 scopus 로고
    • Neural network approaches versus statistical methods on classification of multisource remote sensing data
    • July
    • J. A. Bendiktsson, P. H. Swain, and O. K. Ersoy, "Neural network approaches versus statistical methods on classification of multisource remote sensing data," IEEE Trans. Geosci. Remote Sensing, vol. 28, pp. 540-552, July 1990.
    • (1990) IEEE Trans. Geosci. Remote Sensing , vol.28 , pp. 540-552
    • Bendiktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.