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Volumn , Issue 12, 2009, Pages 201-217

A radial basis function approach to retrieve soil moisture and crop variables from x-brand scatterometer observations

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Indexed keywords


EID: 61849178148     PISSN: 19376472     EISSN: None     Source Type: Journal    
DOI: 10.2528/PIERB08120703     Document Type: Article
Times cited : (19)

References (21)
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    • Understanding C-band radar backscatter from wheat canopy using multiple scattering coherent model
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    • Picard, G.1    Toan, T.L.2    Mattia, F.3
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    • Neural networks and their applications
    • June
    • Bishop, C. M., "Neural networks and their applications," Review of Scientific Instruments, Vol. 65, 1803-1832, June 1994.
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    • Bishop, C.M.1
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    • Widrow, B. and M. A. Lehr, "Thirty years of adaptive neural networks: Perception, madaline and backpropagation," Proceedings of IEEE, Vol. 78, No. 9, 1415-1442, September 1990.
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    • An Electronic nose and modular radial basis function network classifiers for recognizing multiple fragrant materials
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    • Daqi, G.1    Shuyan, W.2    Yan, J.3
  • 21
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    • Effect of soil moisture and crop cover in remote sensing
    • Singh, D., P. K. Mukhurjee, S. K. Sharma, and K. P. Singh, "Effect of soil moisture and crop cover in remote sensing," Advances Space Research, Vol. 18, No. 7, 63-66, 1996.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.