【摘要】 本文介绍了遥感数字图像处理技术(影象比值变换、生物量指标变换、灰度值线性拉伸等)在洪湖水域水生植物计算机自动分类中的应用;并配合野外光谱测定和植物样品叶绿素含量测定数据,对挺水、浮叶和沉水植物作计算机自动分类的可能性和可信性进行了分析。文中展示了洪湖水生植物群丛的分类图并统计了各类群的面积。本试验结果为研究洪湖水体及水生植物的演替和湖泊管理提供了有意义的数据。更多还原

【Abstract】 In this paper an experiment in the application of LANDSAT MSS digital image proces sing technique to classify the aquatic plants in the Honghu Lake,China,as well as the ne- cessary ground feature spectrum measurement and plant chlorophyll content determination techniques are introduced. In order to obtain the expected computer aided classification result different methods of digital image feature extraction have been tried,namely the ratio transformation,the bio- mass index transformation and the linear stretching of image intensity.The data from spe- ctrum measurement and chlorophyll content determination were used to distinguish the at- tributions of different classes of aquatic plant associations from one another by comparing with their spectrum response intensity values on different LANDSAT band images.The original LANDSAT MSS images were digitally rectified by control points to a certain map projection system using a general polynomial approach scheme before the classifying activi- ties,so that the classification result may be transfered to an existing map. In this paper the resulting colour-assigned image and the thematic map of Honghu Lake’s aquatic plant (association) distribution are included,the areas of different classes of aquatic plants are listed and the reliability of the resultng classification and pattern reco- gnition are analysed.These results will provide useful informations for the investigation of the present situation as well as the historical succession of the Honghu Lake and its aquatic plant distribution,and also for the research works of the lake management.更多还原