作物学报 ›› 2021, Vol. 47 ›› Issue (8): 1563-1580.doi: 10.3724/SP.J.1006.2021.02063
张骁1(), 闫岩1, 王文辉1, 郑恒彪1, 姚霞1,2, 朱艳1, 程涛1,2,*(
)
ZHANG Xiao1(), YAN Yan1, WANG Wen-Hui1, ZHENG Heng-Biao1, YAO Xia1,2, ZHU Yan1, CHENG Tao1,2,*(
)
摘要:
水稻籽粒直链淀粉含量影响稻米的蒸煮食味品质。利用遥感技术及时、准确地获取籽粒直链淀粉含量可以指导相应栽培措施的制定与实施, 以提高稻米的食味品质。小波分析作为光谱敏感特征提取的有效方法, 广泛应用于作物生理生化参数的估算, 然而基于小波分析的作物品质参数估算, 在米粉、稻穗水平上的应用还未见报道。本文以室内获取的水稻米粉与干穗反射光谱为基础数据源, 通过连续小波光谱变换、敏感小波特征提取、共性特征分析和预测模型构建等4个步骤, 明确不同光谱参数预测水稻籽粒直链淀粉含量的性能, 最终实现在器官水平的直链淀粉含量高光谱预测。结果表明: (1) 相较归一化光谱指数, 敏感小波特征可有效地提高直链淀粉含量预测精度, 预测模型更具普适性和鲁棒性; (2) 从米粉光谱提取的敏感小波特征WF2037,6, 与籽粒直链淀粉含量相关性较高(R2= 0.59), 对独立年份的样本预测效果较好(RMSE = 1.51%, Bias = 0.44%, RRMSE = 23.50%), 并可直接应用于干穗光谱(R2= 0.62, RMSE = 1.49%, Bias = -0.17%, RRMSE = 25.76%)。本文利用连续小波光谱分析, 提取了米粉和稻穗水平的直链淀粉敏感小波特征WF2037,6, 建立了高精度预测模型, 拓宽了连续小波光谱分析的应用范围, 为冠层水平水稻籽粒直链淀粉含量的高光谱估算奠定基础。
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