白洋淀湿地作为华北平原最大的淡水湿地，在维护华北地区生态平衡、涵养水源等方面发挥着重要作用。近年来，受到气候环境变化以及人类不合理开发的影响，白洋淀湿地正面临急剧萎缩的威胁。本文采用2008年-2018年九期GF-1和Google Earth高分辨率遥感影像数据，开展了基于面向对象方法的白洋淀湿地分类制图和多年变化分析。本文的研究成果如下： （1）本研究按照影像分割、属性计算、特征选取、对象分类的技术路线，对白洋淀高分遥感影像进行了面向对象分类。分类结果表明面向对象分类方法增加了分类精度，大部分地物的生产精度和用户精度均达到80%以上。 （2）白洋淀湿地分布呈现显著的时空变化特征：2008-2018年期间白洋淀湿地面积呈明显上升趋势，其中增长面积最大的是水生植物和纯水体。人工湿地呈先上升后下降趋势，缩减部分最主要转化为天然湿地。水体主要集中在中部地区，呈现“先聚集后破碎”特点。非湿地类型中，面积变化最大的是旱地，主要发生在西部和北部地区，其缩减面积主要转化为纯水体和水生植物。建设用地在研究区内分布广泛，呈稳定扩张趋势。

As the largest freshwater wetland in the North China Plain, Baiyangdian Wetland plays an important role in maintaining ecological balance and protecting biodiversity in North China. In recent years, the Baiyangdian wetland area is facing the threat of sharp shrinkage. In this paper, based on the high-resolution remote sensing image data of GF-1 and Google Earth from 2008 to 2018, the object-oriented method is used to classify and analyze the Baiyangdian wetland classification and multi-years changes. The research results of this paper are as follows: (1) According to the technical route of image segmentation, attribute calculation, feature selection and object classification, this paper conducts object-oriented classification of Baiyangdian high-resolution remote sensing images. The classification results show that the object-oriented classification method reduces the phenomenon of mixture of features. (2) The distribution of Baiyangdian wetland showed significant spatial and temporal variation characteristics: the area of Baiyangdian wetland showed a significant upward trend during 2008-2018, and the largest growth area was aquatic plants and lake wetlands. The constructed wetland first rises and then declines, and the reduced part is most transformed into natural wetland. Water bodies such as lake wetlands are mainly concentrated in the central part, showing the characteristics of “first gathering and then breaking”. Among the non-wetland types, the largest change in area is dry land, mainly in the western and northern regions, and its reduced area is mainly converted into lake wetlands and aquatic plants.