Extracting sensitive spectrum bands of rapeseed using multiscale multifractal detrended fluctuation analysis

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成果类型：

期刊论文

作者：

Jiang, Shan;Wang, Fang*;Shen, Luming*;Liao, Guiping;Wang, Lin

通讯作者：

Wang, Fang;Shen, Luming

作者机构：

[Shen, Luming; Liao, Guiping; Wang, F; Shen, LM; Jiang, Shan; Wang, Fang] Hunan Agr Univ, Coll Sci, Changsha 410128, Peoples R China.

[Liao, Guiping; Wang, Fang] Southern Reg Collaborat Innovat Ctr Grain & Oil C, Changsha 410128, Hunan, Peoples R China.

[Shen, Luming; Wang, F; Shen, LM; Wang, Fang] Hunan Agr Univ, Agr Math Modeling & Data Proc Ctr, Changsha 410128, Peoples R China.

[Wang, Lin; Wang, Fang] Univ New Brunswick, Dept Math & Stat, Fredericton, NB E3B 5A3, Canada.

通讯机构：

[Wang, F; Shen, LM] H

[Wang, Fang] S

[Wang, Fang] U

Hunan Agr Univ, Coll Sci, Changsha 410128, Peoples R China.

Southern Reg Collaborat Innovat Ctr Grain & Oil C, Changsha 410128, Hunan, Peoples R China.

语种：

英文

关键词：

Crops;Forecasting;Fractals;Mean square error;Nearest neighbor search;Nondestructive examination;Oilseeds;Spectrum analysis;Weed control;Correlation coefficient;Evaluation indicators;Information acquisitions;K-nearest neighbor method;Multifractal detrended fluctuation analysis;Multifractal parameters;Non destructive testing;Root mean square errors;Seed

期刊：

Journal of Applied Physics

ISSN：

0021-8979

年：

2017

卷：

121

期：

页码：

104702

DOI：

10.1063/1.4978308

基金类别：

The author wishes to thank the anonymous reviewers and the handling editor as well as associate editor Dr. Marcela M. M. Bilek for their comments and suggestions, which led to a great improvement to the presentation of this work. This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 31501227 and 11401577), the Key R & D Project Funds of Hunan Province, China (Grant No. 2015JC3098), Social Science Foundation of Hunan Province, China (Grant No. 15YBA204) and the Young Scholar Project Funds of the Department of Education of Hunan Province, China (Grant No. 14B087).

机构署名：

本校为第一且通讯机构

院系归属：

理学院

摘要：

Spectrum technology has been widely used in crop non-destructive testing diagnosis for crop information acquisition. Since spectrum covers a wide range of bands, it is of critical importance to extract the sensitive bands. In this paper, we propose a methodology to extract the sensitive spectrum bands of rapeseed using multiscale multifractal detrended fluctuation analysis. Our obtained sensitive bands are relatively robust in the range of 534 nm-574 nm. Further, by using the multifractal parameter (Hurst exponent) of the extracted sensitive ba...

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Extracting sensitive spectrum bands of rapeseed using multiscale multifractal detrended fluctuation analysis

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