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侧扫声呐图像噪声模型的分析
Authors
张楷涵
程恩
袁飞
Publication date
28 May 2018
Publisher
Abstract
侧扫声呐图像在获取的过程中由于其成像机理和复杂的海底环境会产生斑点噪声,其中由于不同底质类型形成的海底混响是造成这些斑点噪声的一个主要因素.首先利用5种典型的概率分布对海底混响的统计特性进行拟合得到了最优的拟合分布.再通过分析灰度直方图相关的特征参数,提出了基于两个特征参数对最优分布参数的估计.最终,通过多元回归分析实现了侧扫声呐图像噪声模型的建立和不同底质类型的图像分类.实验结果表明:伽马分布模型具有拟合特性准确和概率计算便捷的优势;根据模型参数与图像特征所得到的模型可以有效地模拟不同底质类型混响所导致的噪声,有利于底质的分类和噪声的消除.国家自然科学基金(61471308,61571377
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Last time updated on 10/06/2020