基于包络线法的长江三角洲典型植物光谱识别研究

高光谱遥感的出现使树种的精细识别成为可能，本论文利用FieldSpec3便携式地物波谱仪，获取了金边黄杨（Euonvmus Japonicus cv.Aureo-ma），圆柏（Sabina chinensis），麦冬（Ophiopogon japonicus）和珊瑚树（Viburnum awabuki）4种植物类型的高光谱数据。在对原始光谱数据进行有效预处理的基础上，进行包络线去除。选择差异较大的550~780 nm光谱波段，对包络线去除后的光谱曲线进行计算得到了这4种植被的吸收峰总面积、吸收峰左面积、吸收峰右面积、对称度等特征参数，根据吸收峰总面积与吸收峰左面积的差异，识别出金边黄杨。最后，对包络线进行一阶微分处理，发现在610~620 nm之间，圆柏的曲线特征表现为吸收谷，其他植物则表现为反射峰；而在670~680 nm之间，麦冬的曲线表现为反射峰，其他植被则表现为吸收谷，根据这两个特征，可以将麦冬、圆柏与珊瑚树区别开来。可见，包络线去除法能突出不同植物光谱特征的差异，从而实现不同树种的光谱识别。本研究结果将为利用遥感数据进行森林树种的高光谱识别与监测提供一些经验。

Spectral identification of typical vegetation in Yangtze river delta with continuum removal

The development of hyperspectral remote sensing technology enables the precise identification of vegetation possible.In order to explore the ability to identify different urban vegetation in different bands, the ASD FieldSpec Pro FR portable spectroscope was used to measure hyperspectral data of four different tree species, such as Euonvmus Japonicus cv.Aureo-ma, Sabina chinensis, Ophiopogon japonicas and Viburnum awabuki in this research.The method of the continuum removal was used to deal with the original spectral data of four tree species.The curves of the original spectrum and the continuum removal were compared and the bands with greater differencesa (550~780 nm) were selected to identify the different tree species.By computing the absorption area and symmetry to comparea and anaylsis the sperctal characteristic of different urban vegetation types.The Euonvmus Japonicus cv.Aureo-ma can be identified according to the difference of the absorption area and symmetry. Further, with first-order derivative continuum removal spectrum curve, it showed that there were various at different vegetation in the 610~620 nm and 670~680 nm spectrum.So they can be effectively used to identify Sabina chinensis, Ophiopogon japonicas and Viburnum awabuki Sabina chinensis.he results showed that the continuum removal was an effective method and can be prominent features of reflect spectral such as curvature and absorption depth, which helps to discriminate tree species. The study provides available scientific base for vegetation investigation and monitoring.