中文摘要：

长江南源当曲流域是我国高寒沼泽湿地的集中分布地区之一，是青藏高原腹地重要的水源涵养地。对该地区湿地资源及分布的正确把握直接关系到当地牧民的生产生活及下游地区的经济社会发展。由于湿地光谱特征复杂，易于其他地类混淆，传统的遥感信息提取方法很难保证湿地信息提取的精度。本文运用面向对象的图像信息自动分类方法，对当曲流域内的湿地信息进行提取。在对各类型湿地的光谱特征、纹理特征及空间特征进行分析的基础上，充分结合DEM及其衍生数据（坡度、坡向），归一化植被指数（NDVI），归一化水体指数（NDWI）及缨帽变换（Kauth—Thomas transformation）得到的湿度图层等参数，设置各参数阂值，建立各湿地类型的信息提取知识规则，并结合野外实地调查对信息提取精度进行验证。经检验，湿地信息提取的总体精度达到89.00％．

英文摘要：

Alpine wetlands are very sensitive to global change, have great impacts on the hydrological condition of rivers, and are closely related to peoples＇ living in lower reaches. It is essential to monitor alpine wetland changes to appropriately manage and protect wetland resources; however, it is quite difficult to accurately extract such information from remote sensing images due to spectral confusion and arduous field verification. In this study, we identified different wetland types in the Damqu River Basin located in the Yangze River source region from Landsat remote sensing data using the object-based method. In order to ensure the interpretation accuracy of wetland, a digital elevation model （DEM） and its derived data （slope, aspect）, Normalized Difference Vegetation Index （NDVI）, Normalized Difference Water Index （NDWI）, and Kauth-Thomas transformation were considered as the components of the spectral characteristics of wetland types. The spectral characteristics, texture features and spatial structure characteristics of each wetland type were comprehensively analyzed based on the success of image segmentation. The extraction rules for each wetland type were established by determining the thresholds of the spatial, texture and spectral attributes of typical parameter layers according to their histogram statistics. The classification accuracy was assessed using error matrixes and field survey verification data. According to the accuracy assessment, the total accuracy of image classification was 89%.