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EMD与分形相结合的遥感影像水体信息提取方法

DOI: 10.6046/gtzyyg.2014.04.07, PP. 41-45

Keywords: EMD,分形,遥感,光谱特征,纹理特征,水体信息提取

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Abstract:

提出一种基于经验模态分解(empiricalmodedecomposition,EMD)和分形理论相结合的遥感影像水体信息提取方法,该方法尝试结合影像的光谱特征和纹理特征以提高分类提取精度。对影像进行主成分分析得到有效信息量最大的第一主分量,计算每个像元的分维数得到分维图,同时将第一主分量EMD分解得到有效信息量较大的前3个经验模态函数,再结合原有的波段信息作为研究数据,利用极大似然法分类器提取水体信息。该方法充分结合了EMD在降噪和区分相似光谱特征中的优势和分形理论在纹理信息提取中的优势。研究表明,该方法可有效提高水体信息的提取精度,Kappa最高到0.9325。

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