采用主成分分析的改进云检测算法Advanced algorithm of PCA-based Fmask cloud detection
蒋嫚嫚,邵振峰
摘要(Abstract)：
针对Fmask云检测算法难以区分Landsat遥感影像上云和冰这一技术难题,该文提出一种基于主成分分析的改进Fmask云检测算法。首先对Fmask中归一化植被指数和归一化雪指数固定阈值进行自适应阈值改进,并对影像进行主成分变换,然后对主成分分析变换后的组合波段进行改进的Fmask云检测,最后进行算法对比分析。以北极地区的TM影像进行实验,结果表明,对同时覆盖冰层和云层的Landsat遥感影像,该文提出的算法能够提高云检测精度。
关键词(KeyWords)： 云检测;Fmask;主成分分析;TM影像
基金项目(Foundation): 国家973计划项目(2010CB731801);; 国家自然科学基金项目(61172174);; 国家重大设备专项支持项目(2012YQ16018505);; 科技支撑计划项目(2013BAH42F03);; 深圳市科技研发资金项目(JCYJ20120618162928009);; 省部产学研结合项目(2012B090500016)
作者(Author): 蒋嫚嫚,邵振峰
DOI: 10.16251/j.cnki.1009-2307.2015.02.030
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