铜铅胁迫下玉米叶片弱光谱信息的LD-CR-SIDSCAtan探测模型  

LD-CR-SIDSCAtan Detection Model for the Weak Spectral Information of Maize Leaves under Copper and Lead Stresses

作　　者：张超[1] 杨可明[1] 王敏 高鹏 程凤 李燕 ZHANG Chao;YANG Ke-ming;WANG Min;GAO Peng;CHENG Feng;LI Yan(College of Geoscience and Surveying Engineering,China University of Mining&Technology,Beijing,Beijing 100083,China;North China University of Science and Technology,Tangshan 063210,China)

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]华北理工大学,河北唐山063210

出　　处：《光谱学与光谱分析》2019年第7期2091-2099,共9页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(41271436)资助

摘　　要：农作物在受到重金属污染以后,会破坏本身的组织细胞结构和叶绿素含量,从而影响农作物的新陈代谢和健康状况。人和动物如果食用了污染的农作物以后,会有致命的伤害。高光谱遥感目前被广泛应用于监测农作物受重金属污染的程度。重金属污染下的农作物叶片的光谱变化很微小,传统的监测方法和常规的光谱特征参数很难将光谱之间的微弱差异区别开,目前高光谱遥感应用是研究的重点和难点。通过设置不同浓度的Cu^2+和Pb^2+胁迫下玉米盆栽实验,采集玉米叶片的光谱数据、叶绿素的相对含量以及重金属Cu^2+和Pb^2+的相对含量。提出了包络线去除(CR)、光谱相关角(SCA)、光谱信息散度(SID)以及正切函数(Tan)和兰氏距离(LD)相结合的LD-CR-SIDSCAtan模型,将其与传统的光谱测度方法,如光谱相关系数(SCC)、光谱角(SA)、光谱角正切(DSA)、光谱信息散度-光谱相关角正切(SIDSAMtan)、光谱信息散度-光谱梯度角正切(SIDSGAtan)和常规的光谱特征参数,如红边最大值(MR)、绿峰高度(GH)、红边一阶微分包围面积(FAR)、红边一阶微分曲线陡峭度(FCDR)、蓝边(DB)、红谷吸收深度(RD)相比较,验证了该模型的优越性和可行性。并且将LD-CR-SIDSCAtan模型应用于不同浓度下Cu^2+和Pb^2+胁迫的玉米叶片的整体波形和子波段的光谱差异信息的测度上。结果表明,LD-CR-SIDSCAtan模型实现了重金属Cu2+和Pb2+污染的定性分析,能够测度光谱相关系数达到0.99以上的相似光谱之间的差异信息,波形差异信息与叶片测得的叶绿素相对含量和重金属Cu^2+和Pb^2+相对含量显著相关,也分别找到了重金属Cu^2+和Pb^2+胁迫下的光谱响应波段。在测度光谱数据的整个波段区间范围,模型值为负值时的光谱差异要比模型值为正值更加明显;在模型值为正值时,如果数值越大,光谱的差异性也越大。因此,随着重金属Cu^2+和Pb^2+浓度的增When crops are contaminated with heavy metals, their tissue structure and chlorophyll content will be destroyed, which will affect the metabolism and health of crops. People and animals will have fatal injuries if they eat the contaminated crops. Hyperspectral remote sensing is now widely used to monitor the extent of crops affected by heavy metals, and in the heavy metal pollution, the spectral crop leaves are still very similar to those of the traditional monitoring methods and spectral characteristic parameters of routine, so it is difficult to distinguish between different spectral weak information, and application of hyperspectral remote sensing is the focus and difficulty of the study. The maize leaf spectral data, chlorophyll content and relative content of heavy metals Cu^2+ and Pb^2+ were collected by setting different concentrations of Cu^2+ and Pb^2+ stress. A LD-CR-SIDSCAtan model combined with the continuum removal(CR), spectral correlation angle(SCA), spectral information divergence(SID) and tangent function(Tan) and Langmuir distance(LD) is proposed in this study, and the traditional measure, such as spectral correlation coefficient(SCC), SA(spectral angle), tangent spectrum(DSA), spectral information divergence and spectral correlation tangent(SIDSAMtan), spectral information divergence and spectral gradient tangent(SIDSGAtan) and conventional spectral characteristic parameters, such as the maximum value of red edge(MR), green peak height(GH) and red edge area surrounded by a first order differential(FAR), red edge derivative curve steepness(FCDR), blue(DB), red band depth(RD) compared to verify the feasibility and superiority of the model. The LD-CR-SIDSCAtan model was applied to measure the spectral difference information about the overall waveform and the subband of maize leaves under Cu^2+ and Pb^2+ stress at different concentrations. The results show that the LD-CR-SIDSCAtan model realized the qualitative analysis of heavy metal Cu^2+ and Pb^2+ pollution, could measure the spectral correlatio

关 键 词：高光谱遥感 玉米叶片 重金属污染 光谱弱信息 光谱分析 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]