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OALib Journal期刊
ISSN: 2333-9721
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融入空间信息的湿地信息提取技术
DOI: 10.3969/j.issn.1000-2006.2014.04.004, PP. 19-22
Keywords: 湿地遥感信息,空间信息,主成分分析,安徽省
Abstract:
以安徽省湿地为对象,采用tm影像,在去噪声处理和主成分分析的基础上,以一种基于光谱和空间信息相结合的分类方法,对研究区的湿地信息进行了提取。结果表明:以主成分分析法对数据进行处理发现,前4个主成分的累积贡献率为99.5%,可代表原始数据的绝大部分信息;结合空间信息的提取方法对各类型湿地的平均提取精度可达84.6%,有效地改善了“麻点”现象,而采用光谱信息的平均提取精度仅为69.3%。
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