论文标题
最佳图像平滑及其在遥感中的异常检测中的应用
Optimal Image Smoothing and Its Applications in Anomaly Detection in Remote Sensing
论文作者
论文摘要
本文的重点是得出最佳的图像更光滑。优化是通过图像坐标系中拉普拉斯运算符规范的最小化来完成的。离散Laplace操作员并使用Euler-Lagrange的方法导致最佳更顺滑的加权平均方案。卫星图像可以通过这种最佳的顺畅。它也非常快，可用于检测图像中的异常。考虑到伊朗的QOM区域的真正异常检测问题。不同带中的卫星图像平滑。比较不同频段中的平滑和原始图像，提出了异常的地图。派生方法与现有方法之间的比较表明，它在检测该区域的异常时更有效。
This paper is focused on deriving an optimal image smoother. The optimization is done through the minimization of the norm of the Laplace operator in the image coordinate system. Discretizing the Laplace operator and using the method of Euler-Lagrange result in a weighted average scheme for the optimal smoother. Satellite imagery can be smoothed by this optimal smoother. It is also very fast and can be used for detecting the anomalies in the image. A real anomaly detecting problem is considered for the Qom region in Iran. Satellite image in different bands are smoothed. Comparing the smoothed and original images in different bands, the maps of anomalies are presented. Comparison between the derived method and the existing methods reveals that it is more efficient in detecting anomalies in the region.
