• Journal of Infrared and Millimeter Waves
  • Vol. 30, Issue 5, 451 (2011)
CHEN Bing1、2、*, LI Shao-Kun1、3, WANG Ke-Ru1、3, SU Yi1, CHEN Jiang-Lu1, JIN Xiu-Liang1, LV Yin-Liang1, and DIAO Wan-Ying1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    CHEN Bing, LI Shao-Kun, WANG Ke-Ru, SU Yi, CHEN Jiang-Lu, JIN Xiu-Liang, LV Yin-Liang, DIAO Wan-Ying. Estimating severity level of cotton disease based on spcctral indicse of TM image[J]. Journal of Infrared and Millimeter Waves, 2011, 30(5): 451 Copy Citation Text show less
    References

    [3] Tilling A K, O’Leary G J, Ferwerda J G, et al. Remote sensing of nitrogen and water stress in wheat[J]. Field Crops Research2007,104(1):77-85.

    [4] Huang W J, Lamb D W, Niu Z, et al. Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging[J]. Precision Agriculture2007,8(5):187-197.

    [5] Johnson D A, Richard A J, Hamm P B, et al. Aerial photography used for spatial pattern analysis of late blight infection in irrigated potato circles[J]. Phytopatholog2003,93(7):805-812.

    [6] Everitt J H, Escobar D E, Appel D N, et al. Using airborne digital imagery for detecting oak wilt disease[J].Plant disease1999,83(6):502-505.

    [7] Adams M L, Philpot W D, Norvell W A. Yellowness index: an application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation[J]. International Journal of Remote Sensing1999,20(18):3663-3675.

    [8] Hamid Muhammed H. Hyperspectral crop reflectance data for characterizing and estimating fungal disease severity in wheat[J]. Bios stems Engineering2005:91(1):9-20.

    [9] Chen B, LI S K, Wang K R, et al. Spectrum characteristic of cotton canopy infected with Verticillium wilt and applications[J]. Agricultural Sciences in china2008,7(5):561-569.

    [10] Apan A, Held A, Phinn S, et al. Detecting sugarcane ‘orange rust’disease using EO-1 Hyperion hyperspectral imagery[J]. International Journal of Remote Sensing,2004,25(2):489-498.

    [11] Jonas F, Gunter M. Multi-temporal wheat disease detection by multi-spectral remote sensing[J]. Precision Agriculture2007,8(3):161-172.

    CHEN Bing, LI Shao-Kun, WANG Ke-Ru, SU Yi, CHEN Jiang-Lu, JIN Xiu-Liang, LV Yin-Liang, DIAO Wan-Ying. Estimating severity level of cotton disease based on spcctral indicse of TM image[J]. Journal of Infrared and Millimeter Waves, 2011, 30(5): 451
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