Multifractal methods for rapeseed nitrogen nutrition qualitative diagnosis modeling
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Fang Wang | Gui-ping Liao | Fang Wang | Guiping Liao | Rui-biao Zou | Jin-wei Li | Jian-hui Li | Jian-hui Li | Jin-Wei Li | Rui-Biao Zou
[1] Fang Wang,et al. Magnetic resonance image segmentation using multifractal techniques , 2015 .
[2] R. P. Yadav,et al. Fractal and multifractal characteristics of swift heavy ion induced self-affine nanostructured BaF2 thin film surfaces. , 2015, Chaos.
[3] Jin-wei Li,et al. Two-dimensional multifractal detrended fluctuation analysis for plant identification , 2015, Plant Methods.
[4] F. Wang,et al. Local multifractal detrended fluctuation analysis for non-stationary image's texture segmentation , 2014 .
[5] F. Wang,et al. Local multifractal detrended fluctuation analysis for tea breeds identification , 2014 .
[6] Fang Wang,et al. Multifractal Detrended fluctuation Analysis for Image Texture Feature Representation , 2014, Int. J. Pattern Recognit. Artif. Intell..
[7] Zhu-Hong You,et al. Orthogonal locally discriminant spline embedding for plant leaf recognition , 2014, Comput. Vis. Image Underst..
[8] Wen Shi,et al. Leaf image segmentation method based on multifractal detrended fluctuation analysis , 2013 .
[9] Fang Wang,et al. Multifractal detrended fluctuation analysis for clustering structures of electricity price periods , 2013 .
[10] Wen Shi,et al. Multifractal detrended cross-correlation analysis for power markets , 2013, Nonlinear Dynamics.
[11] R. P. Yadav,et al. Fractal and multifractal analysis of LiF thin film surface , 2012 .
[12] Gilles Rabatel,et al. Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in Wheat , 2011 .
[13] Kim,et al. Pest Detection Method Using Multi-Fractal Analysis , 2011 .
[14] J. Vollmann,et al. Original paper: Digital image analysis and chlorophyll metering for phenotyping the effects of nodulation in soybean , 2011 .
[15] Yee Leung,et al. Multifractal temporally weighted detrended fluctuation analysis and its application in the analysis of scaling behavior in temperature series , 2010 .
[16] Dawei Qi,et al. Analysis and processing of decayed log CT image based on multifractal theory , 2008 .
[17] Gene Stevens,et al. Predicting Rice Yield Response to Midseason Nitrogen with Plant Area Measurements , 2008 .
[18] Hu Wei-qun,et al. Measurement of Rice Leaf Chlorophyll and Seed Nitrogen Contents by Using Multi-Spectral Imagine , 2008 .
[19] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[20] Wei-Xing Zhou,et al. Detrended fluctuation analysis for fractals and multifractals in higher dimensions. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Pat Morin,et al. Output-Sensitive Algorithms for Computing Nearest-Neighbour Decision Boundaries , 2003, WADS.
[22] H. Stanley,et al. Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series , 2002, physics/0202070.
[23] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[24] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[25] W. W. Casady,et al. Machine-vision-based Nitrogen Management Models for Rice , 1996 .
[26] W. W. Casady,et al. Machine Vision for Measurement of Rice Canopy Dimensions , 1996 .
[27] Alex Pentland,et al. Fractal-Based Description of Natural Scenes , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] B. Mandelbrot. How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension , 1967, Science.