基于小波变换的水稻砷污染光谱奇异性研究

Study on Rice Arsenic Pollution Spectral Singularities Based on Wavelet Transform

砷对动植物以及人体产生毒害作用，对于作物砷污染监测是必要的。通过研究砷污染水稻光谱差异，利用奇异范围、奇异幅度和奇异指数等参数对水稻的光谱奇异性进行研究。结果表明，水稻生长初期，在350~680 nm波段处光谱差异值较小，变化范围为3.67%~7.86%，而水稻抽穗期，变化范围为7.83%~16.19%，单纯利用测得的原始光谱提取水稻砷污染的弱信息具有滞后性。砷污染水稻光谱奇异范围主要集中在500~850 nm，奇异幅度在抽穗期达到极值，而奇异指数按照水稻生育周期逐渐增加。利用光谱的奇异性可以更有效地监测水稻砷污染胁迫。

Arsenic produce toxic effects to plants,animals and the human body produce,so monitoring crop arsenic pollution is necessary. Through the study on arsenic contamination of rice spectral differences,by using the singular spectrum range,singular amplitude and singular index parameters such as the singularity of the rice,it showed that,in the early growth stage of rice,a small value in the 350~680 nm wavelength spectral was different,which changed in the range between 3.67%and 7.86%,and in the rice heading stage,the change range was between 7.83%and 16.19%,only weak information extraction of arsenic contaminated rice lagged behind the original use of measured spectra.Arsenic contamination of rice spectrum singular scope mainly concentrated in the 500~850 nm,singularity amplitude reached the maximum at the heading stage,and the singular index according to the rice growth period increased gradually.The singular spectrum could effectively monitor arsenic pollution in rice stress.