一种遥感影像混合噪声的去噪方法
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摘要
为了减弱遥感影像噪声的影响,提高影像使用价值,提出了一种新的针对遥感影像混合噪声去噪的组合滤波,即基于三维块匹配和自适应中值滤波的去噪方法;此外使用rbio3小波和db20小波替换传统三维块匹配参数,进行两个仿真试验和一个真实遥感图像去噪试验。结果表明:本文方法在去除遥感影像常见的脉冲与高斯噪声方面,效果优于传统滤波方法。
In order to weaken the influence of remote sensing image noise and improve the use value of imagery,a new combined filtering method is proposed for the mixed noise denoising of remote sensing images,namely the denoising method based on threedimensional block matching and adaptive median filtering.The rbio3 wavelet and db20 wavelet replace the traditional three-dimensional block matching parameters.Two simulation experiments and one real remote sensing image denoising experiment are performed.The results show that this method is better than the traditional filtering method in removing the common pulse and Gaussian noise of remote sensing images.
In order to weaken the influence of remote sensing image noise and improve the use value of imagery,a new combined filtering method is proposed for the mixed noise denoising of remote sensing images,namely the denoising method based on threedimensional block matching and adaptive median filtering.The rbio3 wavelet and db20 wavelet replace the traditional three-dimensional block matching parameters.Two simulation experiments and one real remote sensing image denoising experiment are performed.The results show that this method is better than the traditional filtering method in removing the common pulse and Gaussian noise of remote sensing images.
引文
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[15]赵巨峰,毛磊,刘承,等.视觉注意机制与边缘展宽衡量相结合的显微成像清晰度评价[J].光子学报,2015,44(7):132-138.
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[3]汪鲁才,王耀南,毛六平.基于小波变换和中值滤波的干涉图像滤波方法[J].测绘学报,2005,34(2):108-112.
[4]许才军,王华,王江林.基于有向窗的自适应中值滤波方法[J].武汉大学学报(信息科学版),2005,30(10):873-876.
[5]赖旭东,万幼川.一种针对激光雷达强度图像的滤波方法研究[J].武汉大学学报(信息科学版),2005,30(2):158-160.
[6]高建,张斌,张飞艳,等.一种遥感影像流去噪方法的研究[J].武汉大学学报(信息科学版),2012,37(1):31-34.
[7]侯建华,田金文,柳健.一种改进的图像组合滤波方法[J].光子学报,2005,34(11):1748-1751.
[8]朱建军,周靖鸿,周璀,等.一种新的去除遥感影像混合噪声组合滤波方法[J].武汉大学学报(信息科学版),2017,42(3):348-354.
[9]DABOV K,FOI A,KATKOVNIK V,et al.Image denoising by sparse 3D transform-domain collaborative filtering[J].IEEE Transactions on Image Processing,2007,16(8):2080-2095.
[10]王琪洁,朱建军,丁晓利,等.基于自适应中心加权中值和Goldstein的In SAR干涉图强噪声滤波方法[J].测绘通报,2009(8):13-16.
[11]王晓,郭军,朱邦彦,等.一种侧扫声呐图像去噪及均衡化综合处理方法[J].测绘通报,2018(8):51-55.
[12]陈竹安,胡志峰.小波阈值改进算法的遥感图像去噪[J].测绘通报,2018(4):28-31.
[13]马旭东,闫利,曹纬,等.一种新的利用梯度信息的图像质量评价模型[J].武汉大学学报(信息科学版),2014,39(12):1412-1418.
[14]王忠美,杨晓梅,顾行发.张量组稀疏表示的高光谱图像去噪算法[J].测绘学报,2017,46(5):614-622.
[15]赵巨峰,毛磊,刘承,等.视觉注意机制与边缘展宽衡量相结合的显微成像清晰度评价[J].光子学报,2015,44(7):132-138.