一种二级方法,用于从遥感图像中去除混合噪声
Ying Zhou1, Chao Ren1,2, Shengguo Zhang3
1College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
一种新的二阶方法通过将修改后的DnCNN与自适应介质过相结合来增强远程传感图像无色化. 这种方法有效地消除了混合的高斯式和盐和胡噪声,同时保留了关键的图像细节和边缘.
科学领域:
- 遥感 遥感 遥感 遥感
- 图像处理 图像处理
- 计算机视觉 计算机视觉
背景情况:
- 遥感图像对于各种应用至关重要.
- 常见的噪音类型包括高斯噪音和盐和胡噪音.
- 现有的无声化方法与混合噪声作斗争,导致细节丢失.
研究的目的:
- 为远程传感图像消噪提出一个强大的方法.
- 解决当前处理混合噪声的算法的局限性.
- 为了改善图像边缘和纹理的保存.
主要方法:
- 开发了一种两阶段的消毒方法.
- 阶段1:修改了DnCNN,具有扩展卷积和 DropoutLayer,用于初始降噪.
- 第2阶段:通过加权的最近邻近像素进行自适应中间选以提高精度.
主要成果:
- 拟议的方法有效地减少混合高斯式和盐和胡噪声.
- 主观和客观的评估显示出比传统方法更优异的性能.
- 剥离的图像表现出增强的清晰度,自然的细节和保存的边缘/纹理特征.
结论:
- 第二阶段的无声化方法显著提高了远程传感图像质量.
- 与现有技术相比,它为混合噪声提供了更有效的解决方案.
- 该方法成功地平衡了消除噪音与保存细节的方法.
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