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基于GIS和RS的巢湖北岸湿地分类研究
引用本文:连芸,宋传中,吴立坤,霍立新,蔡志川.基于GIS和RS的巢湖北岸湿地分类研究[J].合肥工业大学学报(自然科学版),2008,31(11).
作者姓名:连芸  宋传中  吴立坤  霍立新  蔡志川
作者单位:合肥工业大学,资源与环境工程学院,安徽,合肥,230009
摘    要:文章以SPOT-5卫星影像为源数据,借助ERDASI MAGINE和Arc/INFO软件,探讨了RS和GIS技术在湿地识别、分类及制图方面的应用;运用4种融合方法对源数据做融合处理,利用比值法融合后的图像进行计算机监督分类,实现研究区土地利用类型的分类,绘制出巢湖湿地专题图,统计各类湿地的面积;对研究区各类湿地的空间分布规律及影响其分布的因素作了简单分析,并就巢湖周边资源如何实现可持续发展提出几点建议。

关 键 词:巢湖湿地  图像融合  监督分类

Study of wetland classification on the north bank of Chaohu based on GIS and RS
LIAN Yun,SONG Chuan-zhong,WU Li-kun,HUO Li-xin,CAI Zhi-chuan.Study of wetland classification on the north bank of Chaohu based on GIS and RS[J].Journal of Hefei University of Technology(Natural Science),2008,31(11).
Authors:LIAN Yun  SONG Chuan-zhong  WU Li-kun  HUO Li-xin  CAI Zhi-chuan
Abstract:Using SPOT-5 image data,ERDAS IMAGINE and Arc/INFO software,this paper studies the application of GIS and RS technologies to wetland research,such as recognition,classification and mapping of wetlands.Firstly,four image fusion methods are used to process the SPOT-5 data.Secondly,by utilizing the supervised classification method,the image obtained with the band-ratio-fusion method is further processed to extract land-use type information,make the Chaohu wetland thematic map and calculate the areas of all kinds of wetlands in the study area.Finally,the spatial distribution of wetlands and its causing factors are analyzed,several recommendations about how to keep the sustainable development around Chaohu Lake are proposed.
Keywords:Chaohu wetland  image fusion  supervised classification
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