中文摘要：

河口沿岸湿地典型植被信息的遥感分类提取，是监测河口湿地生态环境变化的重要前提之一．以杭州湾河口沿岸湿地为研究区，通过实地采集的典型植被光谱数据与国产高分1号卫星影像数据建立相关关系，并结合面向对象方法的分割尺度及波段比等参数的设置，利用面向对象分类方法进行杭州湾湿地典型植被信息提取．研究结果表明：基于高分l号高空间分辨率数据，结合典型植被光谱特征和面向对象分类方法，有利于提高典型植被信息提取的精度，可以有效地提取湿地典型植被信息．

英文摘要：

Remote sensing classification extraction of the typical wetland vegetation information in estuarine wetlands is an important prerequisite for monitoring estuarine wetland environment changes. Taking Hangzhou Bay estuarine wetlands along the coast as the study areas, the relationships between the spectral data of typical vegetation and the satellite image data of Gaofen-1 are established, the parameters like segmentation scales and band are set, and the typical wetland vegetation information in Hangzhou Bay is extracted by the object-oriented classification method. The results show that based on the resolution data of Gaofen-1, the combination of the typical vegetation spectral data and object-oriented classification method, is beneficial to improve the extraction precision of typical wetland vegetation.