光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
6期
1599-1604
,共6页
廖钦洪%张东彦%王纪华%杨贵军%杨浩%Coburn Craig%Wong Zhijie%王大成3
廖欽洪%張東彥%王紀華%楊貴軍%楊浩%Coburn Craig%Wong Zhijie%王大成3
료흠홍%장동언%왕기화%양귀군%양호%Coburn Craig%Wong Zhijie%왕대성3
多角度成像%热点-暗点%植被指数%ACRM模型%叶绿素含量
多角度成像%熱點-暗點%植被指數%ACRM模型%葉綠素含量
다각도성상%열점-암점%식피지수%ACRM모형%협록소함량
Multi-angular imaging%Hot-dark-spot%Vegetation index%ACRM model%Chlorophyll content
叶绿素含量的快速估算对于及时了解作物的长势、病虫害监测以及产量的评估都具有重要意义。利用自主研发的多角度成像观测系统获取了不同生育期玉米的高光谱影像,精确地提取出主平面内各个观测角度下玉米冠层的反射率。通过对ACRM模型模拟值和实测值的分析,计算出玉米冠层红波段下的热点-暗点指数(HDS),并利用该指数对 TCARI 进行改进,提出一个基于多角度观测的新型植被指数 HD-TCARI,最后使用多角度高光谱成像数据对其进行了地面验证。结果表明,HD-TCARI能够减小LAI 对叶绿素估算的影响,当叶绿素浓度大于30μg · cm-2,HD-TCARI 与 LAI 的相关性R2仅为26.88%~28.72%;当叶绿素浓度较高时,HD-TCARI具有抗“饱和”的特性在LAI 在1~6之间变化时,HD-TCARI与叶绿素浓度的线性关系R2较TCARI提高了约9%左右。利用多角度高光谱成像数据对 HD-TCARI进行地面验证,其与叶绿素浓度的线性关系(R2=66.74%)明显优于TCARI所建立的估算模型(R2=39.92%),证明了 HD-TCARI指数具有更好地估算叶绿素浓度的潜力。
葉綠素含量的快速估算對于及時瞭解作物的長勢、病蟲害鑑測以及產量的評估都具有重要意義。利用自主研髮的多角度成像觀測繫統穫取瞭不同生育期玉米的高光譜影像,精確地提取齣主平麵內各箇觀測角度下玉米冠層的反射率。通過對ACRM模型模擬值和實測值的分析,計算齣玉米冠層紅波段下的熱點-暗點指數(HDS),併利用該指數對 TCARI 進行改進,提齣一箇基于多角度觀測的新型植被指數 HD-TCARI,最後使用多角度高光譜成像數據對其進行瞭地麵驗證。結果錶明,HD-TCARI能夠減小LAI 對葉綠素估算的影響,噹葉綠素濃度大于30μg · cm-2,HD-TCARI 與 LAI 的相關性R2僅為26.88%~28.72%;噹葉綠素濃度較高時,HD-TCARI具有抗“飽和”的特性在LAI 在1~6之間變化時,HD-TCARI與葉綠素濃度的線性關繫R2較TCARI提高瞭約9%左右。利用多角度高光譜成像數據對 HD-TCARI進行地麵驗證,其與葉綠素濃度的線性關繫(R2=66.74%)明顯優于TCARI所建立的估算模型(R2=39.92%),證明瞭 HD-TCARI指數具有更好地估算葉綠素濃度的潛力。
협록소함량적쾌속고산대우급시료해작물적장세、병충해감측이급산량적평고도구유중요의의。이용자주연발적다각도성상관측계통획취료불동생육기옥미적고광보영상,정학지제취출주평면내각개관측각도하옥미관층적반사솔。통과대ACRM모형모의치화실측치적분석,계산출옥미관층홍파단하적열점-암점지수(HDS),병이용해지수대 TCARI 진행개진,제출일개기우다각도관측적신형식피지수 HD-TCARI,최후사용다각도고광보성상수거대기진행료지면험증。결과표명,HD-TCARI능구감소LAI 대협록소고산적영향,당협록소농도대우30μg · cm-2,HD-TCARI 여 LAI 적상관성R2부위26.88%~28.72%;당협록소농도교고시,HD-TCARI구유항“포화”적특성재LAI 재1~6지간변화시,HD-TCARI여협록소농도적선성관계R2교TCARI제고료약9%좌우。이용다각도고광보성상수거대 HD-TCARI진행지면험증,기여협록소농도적선성관계(R2=66.74%)명현우우TCARI소건립적고산모형(R2=39.92%),증명료 HD-TCARI지수구유경호지고산협록소농도적잠력。
The fast estimation of chlorophyll content is significant for understanding the crops growth,monitoring the disease and insect,and assessing the yield of crops.This study gets the hyperspectral imagery data by using a self-developed multi-angu-lar acquisition system during the different maize growth period,the reflectance of maize canopy was extracted accurately from the hyperspectral images under different view angles in the principal plane.The hot-dark-spot index (HDS)of red waveband was calculated through the analysis of simulated values by ACRM model and measured values,then this index was used to modify the vegetation index (TCARI),thus a new vegetation index (HD-TCARI)based on the multi-angular observation was proposed.Fi-nally,the multi-angular hyperspectral imagery data was used to validate the vegetation indexes.The result showed that HD-TCARI could effectively reduce the LAI effects on the assessment of chlorophyll content.When the chlorophyll content was greater than 30μg·cm-2 ,the correlation (R2 )between HD-TCARI and LAI was only 26. 88%~28. 72%.In addition,the HD-TCARI could resist the saturation of vegetation index during the assessment of high chlorophyll content.When the LAI var-ied from 1 to 6 ,the linear relation between HD-TCARI and chlorophyll content could be improved by 9% compared with TCARI.The ground validation of HD-TCARI by multi-angular hyperspectral image showed that the linear relation between HD-TCARI and chlorophyll content (R2= 66. 74%)was better than the TCARI (R2= 39. 92%),which indicated that HD-TCARI has good potentials for estimating the chlorophyll content.