融合K-T和K-L数据的洽川湿地水体提取

Water Extraction in Qiachuan Wetland Using K-D and K-L Data

水体是湿地生态系统中的关键性因子,通过遥感影像可以快速、准确地提取湿地水体信息,遥感技术已经成为湿地调查、研究与保护的重要手段之一。而使用数据融合的遥感数据能够比单一数据得到更精确、更完全、更可靠的图像解译结果。本研究使用Landsat 5 TM遥感影像,运用K-T和K-L方法对遥感数据进行变换处理,进而进行数据融合处理和非监督分类,最后提取出洽川湿地的水体信息。通过研究表明:本期洽川湿地水体面积为63km2;在本区域当期数据下,通过数据融合可以有效排除河漫滩无水区、植物、荒地、建筑物等信息对水体的干扰,效果较好。

Water is one of the key factors in wetland ecosystems. Remote sensing images can be used to extract wetland water information quickly and accurately. Remote sensing technology has become one of the important methods for wetland investigation, research and protection. And the remote sensing data using data fusion can be more accurate, more complete and reliable than a single data. In this study, Landsat 5 TM remote sensing images were used to transform remote sensing data using K-T and K-L methods. Data fusion and unsupervised classification were then performed. The results show that the water area of Qianchuan wetland is 63km2, and the interference of water, vegetation, wasteland, buildings and so on can be effectively eliminated by data fusion in the current data of this area.