• Journal of Infrared and Millimeter Waves
  • Vol. 31, Issue 3, 283 (2012)
YU Fan1、2、*, ZHAO YingShi2, and LI HaiTao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3724/sp.j.1010.2012.00283 Cite this Article
    YU Fan, ZHAO YingShi, LI HaiTao. Soil moisture retrieval based on GABP neural networks algorithm[J]. Journal of Infrared and Millimeter Waves, 2012, 31(3): 283 Copy Citation Text show less
    References

    [1] Kogan F N. Global drought watch from space[J]. Bulletin of the American Meteorological Society,1997,78:621636.

    [2] Ulaby F T, Moore R K, Fung A K. Microwave remote sensing. Volume Ⅱ:Radar Remote Sensing and surface Scattering and Emission Theory[M]. AddisonWesley Publishing Company,1982.

    [3] Pan H. Application of BP neural network based on genetic algorithm[J]. Computer Application,2005,25(12):27772779.

    [5] Moran M S, Daniel C H. Soil moisture evaluation using multitemporal synthetic aperture radar (SAR) in semiarid rangeland[J]. Agriculture and Forest Meteorology,2000,105:6980.

    [6] L I Z, ZHANG J T. App lication of the com bination of genetic algorithm and artificial neural network on crop yield estimation in Jilin Province. Acta Ecologica Sinica,2001,21(5):716720.

    [7] Pan H. Application of BP neural network based on genetic algorithm[J]. Computer application,2005,25(12):3345.

    [8] MATLAB.[EBOL]http://www.ilovematlab.cn/.

    [11] Roo D R, YANG D. A semiempirical backscattering model at Lband and Cband for a soybean canopy with soil moisture inversion[J]. IEEE Trans. Geosci. Remote Sensing,2001,39(4):864872.

    YU Fan, ZHAO YingShi, LI HaiTao. Soil moisture retrieval based on GABP neural networks algorithm[J]. Journal of Infrared and Millimeter Waves, 2012, 31(3): 283
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