该文论述了成象光谱信息在鄱阳湖湿地进行植被光谱识别分类与生物量制图的部分研究结果 ,研究如何从高光谱分辨率图象上有效地定量提取植被生物物理参量以及湿地植被类型识别 ,包括 (1)基于多高度大气订正后的反射率图像获取 ;(2 )导数光谱分析与生物量制图 ;(3)基于光谱波形匹配的湿地植被分类、识别。 In this paper, some results of imaging spectral information classification and biomass mapping in Poyang Lake wetland are discussed, and how to quantitatively extract vegetation biological parameters and vegetation type recognition from hyperspectral images, Including (1) reflectivity image acquisition based on multi-atmosphere correction; (2) derivative spectral analysis and biomass mapping; (3) wetland vegetation classification and identification based on spectral waveform matching.