[1] Ceccato P., Gobron N., Flasse S. et al.. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Theoretical approach[J]. Remote Sensing of Environment, 2002, 82(3):188～197

[2] Ceccato P., Flasse S, Gregoire J. M.. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications[J]. Remote Sensing of Environment, 2002, 82(4): 198～207

[3] Liu Delian,Zhang Jianqi. New texture segmentation-based approach for change detection in remote sensing image[J]. Acta Optica Sinica, 2006, 26(8):1177～1181

[4] Ming Ying,Jiang Jingjue. Background modeling and moving-objects detection based on cauchy distribution for video sequence[J]. Acta Optica Sinica, 2008, 28(3):587～592

[5] Liu Delian,Zhang Jianqi,He Guojing. Target detection for remote sensing image based on gaussian transformation of background[J]. Acta Optica Sinica, 2007,27(4):638～642

[6] Peng Nina,Yi Weining,Ma Jinji. Atmospheric correction of quickBird-2 imagery for turbid water coastal areas using MODIS data[J]. Acta Optica Sinica, 2008, 28(5):817～820

[7] Tian Ying,Yuan Weiqi.Ear recognition based on fusion of scale invariant feature transform and geometric feature[J]. Acta Optica Sinica,2008, 28(8):1485～1491

[9] Sims, D. A., Gamon, J. A. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid water and chlorophyll absorption features[J]. Remote Sensing of Environment, 2002,84(9):526～537

[10] M. Tugrul Yilmaz, E. Raymond Hunt Jr, Lyssa D. Goins.Vegetation water content during SMEX04 from ground data and Landsat 5 Thematic Mapper imagery[J]. Remote Sensing of Environment, 2008,112:350～362

[11] P. J. Zarco-Tejada, S.L. Ustin. Modeling canopy water content for carbon estimates from MODIS data at land EOS validation sites[J]. International Geoscience and Remote Sensing Symposium (IGARSS),2001,1:342～344

[12] M. Tugrul Yilmaz, E. Raymond Hunt Jr., Thomas J. Jackson. Remote sensing of vegetation water content from equivalent water thickness using satellite imagery[J]. Remote Sensing of Environment,2008,112:350～362

[13] Dong Jingjing,Niu Zheng, Shen Yan. Comparison of the methods of obtaining leaf water content by using reflectance data[J]. Acta Agriculturae Universitatis Jiangxi Ensis, 2006,28(4):588～593

[14] R. Colombo, M. Meroni, A. Marchesi. Estimation of leaf and canopy water content in poplar plantationsby means of hyperspectral indices and inverse modeling[J]. Remote Sensing of Environment, 2008, 112:1820～1834

[15] M. Trombetti, D. Riao, M.A. Rubio. Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA[J]. Remote Sensing of Environment, 2008, 112:203～215

[16] Yenben Cheng, Pablo J. Zarco-Tejada, David Riao. Estimating vegetation water content with hyperspectral data for differentcanopy scenarios: Relationships between AVIRIS and MODIS indexes[J]. Remote Sensing of Environment, 2006, 105:354～361